--- title: Vertex AI Search Reviews meta_title: 'Vertex AI Search Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 48 reviews by the users' company size, role or industry to find out how Vertex AI Search works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 48 scale: '5' date_modified: '2026-09-30' parent_category: name: Analytics Tools & Software url: https://www.g2.com/categories/analytics-tools-software --- # Vertex AI Search Reviews **Vendor:** Google **Category:** [Site Search Software](https://www.g2.com/categories/site-search-software) **Average Rating:** 4.3/5.0 **Total Reviews:** 48 **AI Verified:** At least 10 G2 reviewers have confirmed using this product's AI features and functionality. ## About Vertex AI Search Vertex AI Search and Conversation is a comprehensive suite within Google Cloud's Vertex AI platform, designed to empower organizations to build and deploy advanced search and conversational AI applications. By leveraging Google's cutting-edge machine learning models, this suite enables the creation of intelligent, context-aware search experiences and natural-sounding chatbots that can interact seamlessly with users. These tools are tailored to enhance information retrieval and user engagement across various enterprise applications. Key Features and Functionality: - Vertex AI Search: - Semantic Understanding: Utilizes vector-based semantic search to comprehend user intent, delivering more relevant and contextually appropriate results. - Multi-Turn Search: Supports follow-up questions without restarting interactions, facilitating a more natural and efficient search experience. - Data Integration: Connects seamlessly with structured and unstructured data sources, including enterprise databases and third-party applications, ensuring comprehensive search capabilities. - Customization: Offers extensive customization options, allowing organizations to tailor search experiences to their specific needs. - Industry Optimization: Provides specialized solutions for sectors like retail, media, and healthcare, enhancing search relevance and user engagement. - Vertex AI Conversation: - Natural Language Processing: Facilitates the creation of human-like chatbots and voicebots capable of understanding and responding to user queries in a conversational manner. - Integration with Enterprise Data: Allows chatbots to access and utilize enterprise data, including websites, documents, FAQs, and emails, to provide accurate and contextually relevant responses. - Actionable Interactions: Enables chatbots to perform tasks on behalf of users, such as booking appointments or making purchases, by integrating with enterprise workflows. - Customization and Control: Offers tools to define conversation flows, tone, and data access, ensuring that the chatbot aligns with organizational requirements and user expectations. Primary Value and User Solutions: Vertex AI Search and Conversation addresses the critical need for efficient information retrieval and user engagement in enterprise settings. By providing tools that understand user intent and context, organizations can transform traditional keyword-based searches into dynamic, conversational experiences. This leads to: - Enhanced User Experience: Users receive more accurate and contextually relevant information, reducing the time spent searching and increasing satisfaction. - Operational Efficiency: Automating routine inquiries and tasks through conversational AI reduces the workload on human agents, allowing them to focus on more complex issues. - Personalized Interactions: The ability to tailor search and conversation experiences to individual users fosters deeper engagement and loyalty. - Scalability and Security: Built on Google's robust infrastructure, the suite ensures scalable performance and adheres to industry compliance standards, safeguarding enterprise data. In summary, Vertex AI Search and Conversation empowers organizations to build intelligent applications that not only retrieve information efficiently but also engage users in meaningful, context-aware interactions, thereby driving business growth and customer satisfaction. ## Vertex AI Search Pros & Cons Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews. **What users like:** - Users appreciate the **easy integrations** with various data sources, ensuring a smooth and efficient experience. (3 reviews) - Users find Vertex AI Search to be a **no-code solution** that simplifies implementation and enhances productivity significantly. (2 reviews) - Users value the **fast and seamless integration** of documents and data sources, enhancing the search experience. (2 reviews) - Users value the **flexible customization options** of Vertex AI Search, simplifying implementation while allowing advanced configurations. (1 reviews) - Users appreciate the **ease of creation** with Vertex AI Search, facilitating seamless document and data integration. (1 reviews) - Ease of Implementation (1 reviews) - Fast Search (1 reviews) - Intuitive (1 reviews) - Personalization (1 reviews) - Problem Solving (1 reviews) **What users dislike:** - Users experience **missing data** issues due to slow setup and indexing of large unstructured files affecting search accuracy. (2 reviews) - Users find the **difficult navigation** of Vertex AI Search challenging, especially due to its complexity and steep learning curve. (1 reviews) - Users are frustrated by the **lack of information** on URL patterns and snippet generation in Vertex AI Search. (1 reviews) - Users find the **platform's complexity** challenging, making it difficult to grasp essential metrics initially. (1 reviews) - Users face **limited data integration capabilities** with Vertex AI Search, restricting indexing of third-party domains. (1 reviews) - Limited Features (1 reviews) - Poor Documentation (1 reviews) - Required Expertise (1 reviews) - Setup Difficulty (1 reviews) - Slow Indexing (1 reviews) ## Vertex AI Search Reviews ### 1. Strong Semantic Search and GenAI Answers, but Pricing and UI/UX Need Work **Rating:** 3.5/5.0 stars **Reviewed by:** Ashish Kumar P. | Software Developer, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Vertex AI Search?** It helps to replace the traditional method of keyword matching with semantic search for multi-turn conversational queries with GenAI answers, which helps the user get the best results. Its UI/UX is okay, not so good or bad, but compared to others, it is good. **What do you dislike about Vertex AI Search?** The most hated part is the pricing. As you know, most people use Google for browsing, but this feature is not free for everyone. It costs $4 for several queries. I don't know the exact number, but it takes so. This part of it I dislike the most, and the UI/UX is good compared to others but not very good. They really should improve it. **What problems is Vertex AI Search solving and how is that benefiting you?** It is very nice for me because when I need results related to a specific keyword, it tells me everything and the most relevant thing for me about that keyword, which helps me a lot to save my time and which I can use in other processes. ### 2. Improving Product Discovery With Vertex AI Search for Retail **Rating:** 4.5/5.0 stars **Reviewed by:** Bright W. | Founder, Retail, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 24, 2026 **What do you like best about Vertex AI Search?** We’ve been using Vertex AI Search for Retail as part of that work. From my side, the useful part has been being able to look at search behavior and make adjustments based on what we’re actually seeing rather than guessing what customers might type. It has fit into the way we’re approaching product discovery as Refermate continues to evolve. **What do you dislike about Vertex AI Search?** It hasn’t been completely plug-and-play. We had to spend some time working through how certain product queries should behave, and there are still areas we’re testing. But the ongoing work has been worthwhile, particularly for a retail platform where product discovery is such a regular part of the user experience. **What problems is Vertex AI Search solving and how is that benefiting you?** Search is something we pay attention to because people come to Refermate looking for specific products, stores, and deals, and a poor search experience can make that process harder than it needs to be. We wanted a solution that could handle the variety in how shoppers search without us having to build every rule ourselves. ### 3. Vertex Delivers Real IR Metrics and Structure-Aware Chunking Without the Usual Pipeline **Rating:** 4.5/5.0 stars **Reviewed by:** Anshuman P. | Executive Business Analyst, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 24, 2026 **What do you like best about Vertex AI Search?** As developer personally I get real IR metrics without building a labelling pipeline. Most vendors in this space will happily let you go to production on vibes but vertex is built on evaluation models that ships. Vertex can help companies and team to skip entire retrieval stack since Google's parser handles structure-aware chunking at 10 dollars for 1000 pages after the first 1,000 free each month. If you've ever spent three sprints discovering that your PDF splitter cuts tables in half, that's the pitch. Pricing unbundling of Ranking and just checking API is also great feature to help us save some bucks. **What do you dislike about Vertex AI Search?** Sometimes the tool bites us in search summarization process and multi-turn search are capped at 60 requests per minute per project. To add to pain we also have general pricing that search quota cannot be raised by filing a quota request as per requirement. **What problems is Vertex AI Search solving and how is that benefiting you?** One search box for employees over Google Drive, Confluence, SharePoint, a pile of PDFs in Cloud Storage, and a BigQuery table of ticket history. Permission-aware: an engineer must not see the comp spreadsheet. ### 4. Context-Aware Search with Fast, Relevant Results and a Clean UI **Rating:** 4.5/5.0 stars **Reviewed by:** Saransh D. | Student Mentor, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 19, 2026 **What do you like best about Vertex AI Search?** What I like most is how it understands the context of a query instead of just matching keywords. It gives relevant results quickly and the AI-generated answers are useful when working with a lot of documents. I also like that it can connect with different data sources and the overall performance is quite good. I really love this product and its user interface is really clean also. **What do you dislike about Vertex AI Search?** The initial setup can be a little technical mainly when configuring data sources and search settings. Getting the best results also depends on how well the data is organized. Some advanced options could be made easier for new users. **What problems is Vertex AI Search solving and how is that benefiting you?** Honestly, I really like this product because it helps us find information across large datasets and documents without spending too much time searching manually. It makes information easier to access and it also improves the overall search performance and experience and helps us build AI-powered search solutions faster. ### 5. Smarter Semantic Search with Reliable Performance and Strong Multilingual Support **Rating:** 4.5/5.0 stars **Reviewed by:** Muhammed A. | Technical Project Manager , Logistics and Supply Chain, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal incentive as thanks for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** August 15, 2026 **What do you like best about Vertex AI Search?** Vertex AI Search has made the search experience within our platform noticeably smarter by understanding user intent through semantic search, instead of relying only on exact keyword matches. The ability to search across multiple content types and receive results ranked by true relevance has helped users find what they need faster, whether they’re looking for documentation, support articles, or other platform-specific content. Integration with the rest of our Google Cloud stack was straightforward, as it connects naturally with Cloud Storage and our existing backend without requiring additional middleware. Performance has also been reliable, returning relevant results quickly even as our indexed content has grown. Finally, the multilingual support has been especially useful for our Arabic-, English-, and Urdu-speaking user base. **What do you dislike about Vertex AI Search?** Setting up and tuning relevance for our specific domain—especially logistics and trucking terminology—took a meaningful amount of time and iteration before the results felt genuinely accurate. Pricing scales with query volume and the size of indexed content, which becomes a bigger consideration as usage expands across the platform. Some of the more advanced configuration options for custom ranking signals also required a deeper technical understanding than a more straightforward, keyword-based search tool would typically need. The documentation covers common use cases well, but for more nuanced customization I still occasionally had to rely on trial and error to get things dialed in. **What problems is Vertex AI Search solving and how is that benefiting you?** Vertex AI Search has replaced a more basic, keyword-only search experience with one that understands user intent and surfaces genuinely relevant results, even when queries don't exactly match indexed content. This has improved how quickly users find what they need within the platform, reducing reliance on manual navigation or support requests for finding information that should be easily searchable. ### 6. Vertex AI Search Delivers Fast, Meaningful Results at Scale **Rating:** 4.5/5.0 stars **Reviewed by:** Aneesh j. | Developer, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 14, 2026 **What do you like best about Vertex AI Search?** I like how vertex AI search can understand the meaning behind a query and return useful results even when the exact keywords are not used. it works well with large amounts of information and the AI generated responses make it faster to get the main details without going through everything manually. I really like its performance **What do you dislike about Vertex AI Search?** I think the initial configuration can be a bit difficult , especially when setting up data sources and customizing the search experience . it takes some technical understanding to get the best results and also poorly organized data can sometimes affect the quality of the search. **What problems is Vertex AI Search solving and how is that benefiting you?** It helps us quickly find relevant information across large collections of data and documents . this reduces the time spent searching manually and makes it easier to build useful AI powered experience for users. Its pricing is also good and its supports team always respond in time. Its user interface is really clean ### 7. Context-Aware Search with Fast AI Summaries and Strong Google Cloud Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Anurag G. | Social Media Marketing Specialist, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 21, 2026 **What do you like best about Vertex AI Search?** I like how it understands the context of a query and gives relevant results instead of just matching keywords. I genuinely love its performance and it works well with large amounts of data and also AI generated summaries make it much quicker to understand the information. The integration with Google Cloud services is also a big advantage. **What do you dislike about Vertex AI Search?** The setup can be a little bit technical especially when connecting data sources and configuring search settings. I also think that its user interface is a little bit clunky and dated. **What problems is Vertex AI Search solving and how is that benefiting you?** It helps us search through documents and other business data much faster instead of manually going through large amounts of information, the users can ask questions in natural language and get useful results quickly which saves time and also improves productivity. Its support team has been very helpful for us. ### 8. Fast, Relevant AI Search with Seamless Google Cloud Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Subhashree S. | Developer, Computer Software, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** August 03, 2026 **What do you like best about Vertex AI Search?** What I like best about Vertex AI Search is how quickly it enables the creation of intelligent, AI-powered search experiences with minimal setup. It delivers highly relevant search results using Google's advanced language models, understands natural language queries, and provides accurate, context-aware responses. The seamless integration with other Google Cloud services, scalability, and enterprise-grade security make it a great choice for building internal knowledge bases, customer support portals, and document search applications. **What do you dislike about Vertex AI Search?** One drawback of Vertex AI Search is that the initial setup and configuration can feel complex, especially for teams that are new to the Google Cloud ecosystem. Fine-tuning search relevance and managing indexing may require some experimentation, and the pricing can become expensive as data volume and query traffic grow. While the documentation is comprehensive, some advanced features have a learning curve and could benefit from more practical examples and easier configuration. **What problems is Vertex AI Search solving and how is that benefiting you?** Vertex AI Search helps solve the challenge of finding relevant information across large volumes of documents and enterprise data. Instead of relying on basic keyword searches, it understands natural language queries and returns more accurate, context-aware results. This has improved productivity by reducing the time spent searching for information, enabling faster access to knowledge, and helping build better AI-powered search experiences for internal users and customers. It has also simplified the development of intelligent search applications without requiring extensive machine learning expertise. ### 9. Fast, Accurate Search Across Large Datasets with Vertex AI Search **Rating:** 4.0/5.0 stars **Reviewed by:** V D. | Administrator, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 26, 2026 **What do you like best about Vertex AI Search?** I like that Vertex AI Search makes it easy to quickly find relevant information across large amount of data. The search result are generally accurate and useful, and it integrates well with other Google Cloud services. It saves us a lot of time when searching through information, so overall I think it’s worth the cost. There are still some areas that could be better, but for us the benefits are more than the price. **What do you dislike about Vertex AI Search?** it can sometimes be difficult to fine-tune the search results. It may take some time to get the relavance and ranking exactly right, and the setup can feel a bit complex for beginners. **What problems is Vertex AI Search solving and how is that benefiting you?** It helps us to search through multiple documents or systems manually and quickly. This saves time, makes information easier to access, and helps us work more efficiently. ### 10. Fast, accurate search that saves me time **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 25, 2026 **What do you like best about Vertex AI Search?** Really fast, super accurate search too. **What do you dislike about Vertex AI Search?** Confusing to set up, and pricey at scale **What problems is Vertex AI Search solving and how is that benefiting you?** I've spent a fair amount of time on Vertex AI over the past several months, and it's one of those platforms that impresses in some areas while frustrating you in others. Here's the honest breakdown.

UI/UX
The console is powerful but not beginner-friendly. Google has packed in a huge number of features — Model Garden, Pipelines, Feature Store, Workbench, Generative AI Studio — and navigating between them can feel disjointed at first. Once you get used to the layout, it's manageable, but there's a real learning curve compared to something like OpenAI's simpler dashboard. Notebooks and pipeline visualizations are genuinely well done, though.

Integration
This is where Vertex AI shines. Since it's native to Google Cloud, it plugs in cleanly with BigQuery, Cloud Storage, and IAM. If your data already lives in GCP, moving it into a model pipeline is smooth. APIs and SDKs (Python especially) are solid and well-documented. Integration with third-party tools is decent but clearly favors the Google ecosystem.

Performance
Model inference is fast and reliable, especially with Gemini models on Vertex. Training jobs scale well, and autoscaling for endpoints works as advertised. Occasionally cold-start latency on smaller endpoints can be noticeable, but nothing deal-breaking.

Pricing/ROI
Costs can add up quickly if you're not watching usage closely — compute, storage, and API calls are billed separately, and it's easy to lose track. That said, for teams already committed to GCP, the ROI is strong because you're not paying a "platform tax" on top of infrastructure you'd need anyway. Smaller teams or solo builders might find it pricier than lighter alternatives.

Support/Onboarding
Documentation is extensive but can feel scattered — you often end up piecing together answers from multiple docs pages or Stack Overflow. Support quality depends heavily on your GCP support tier; free-tier users get relatively thin help. Onboarding tutorials are decent but assume some ML/cloud familiarity already.

AI/Intelligence
The Gemini integration is the standout feature. Access to strong foundation models directly within your pipeline, combined with tools like grounding, function calling, and RAG support, makes it genuinely competitive with dedicated LLM platforms. Model Garden's variety is a plus if you want to experiment across providers.

Overall: Vertex AI is a strong, enterprise-grade platform best suited for teams already in the Google Cloud ecosystem. It rewards technical users willing to climb the learning curve, but it's not the friendliest entry point for beginners or small-scale experimenters. ### 11. Powerful semantic search that eliminates the headache of managing RAG infrastructure **Rating:** 5.0/5.0 stars **Reviewed by:** Sachin G. | Machine Learning Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 11, 2026 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Vertex AI Search?** I use Vertex AI Search primarily to build and maintain internal enterprise search tools and customer-facing recommendation engines. Our core use case involves feeding it massive amounts of unstructured data—like PDF manuals, HTML documentation, and historical support tickets stored in our cloud environment—to power a Retrieval-Augmented Generation (RAG) backend for our internal knowledge chatbot. It handles the heavy lifting of document ingestion, embedding generation, and vector retrieval, integrating smoothly alongside the rest of our data stack, which heavily features tools like Databricks and MongoDB.The biggest advantage of Vertex AI Search is how effectively it abstracts away the complex, time-consuming infrastructure typically required for modern semantic search. When orchestrating data workflows in tools like Apache Airflow, I expect a high degree of manual configuration, but with Vertex AI, the platform handles the document parsing, vector indexing, and integration with generative foundation models right out of the box. The semantic understanding is incredibly sharp from day one, effectively parsing natural language and user intent rather than just relying on rigid keyword matching. I also highly value the built-in enterprise-grade security and document-level access controls. It allows us to safely index sensitive internal documents while ensuring that employees only see search results and AI-generated summaries they actually have permission to view. **What do you dislike about Vertex AI Search?** Despite the powerful backend, the platform can sometimes feel a bit like a black box when you want to heavily customize the underlying retrieval logic. Because so much of the embedding and ranking pipeline is managed natively by Google, tweaking the granular details of the relevance scoring or debugging exactly why a specific document was ranked lower than expected can be frustratingly opaque. The initial setup and configuration via the Google Cloud Console also carries a surprisingly steep learning curve, especially if you are not already deeply familiar with IAM permissions and the broader Google Cloud ecosystem. Additionally, managing the data synchronization for rapidly changing internal data sources sometimes requires writing custom Python orchestration scripts, as the native sync features can occasionally lag behind our real-time operational needs. **What problems is Vertex AI Search solving and how is that benefiting you?** Our biggest historical challenge was information silos; our customer support agents were wasting significant time digging through disparate internal wikis and legacy databases to find specific technical workarounds. We used Vertex AI Search to ingest all of those scattered documents and create a unified, natural language search portal. Now, an agent can ask a complex, conversational question about a specific error code, and the system not only retrieves the exact technical manual but also generates a concise, accurate summary of the solution grounded directly in our own data. In another instance, we deployed it to power a product recommendation feature for our web application, which significantly improved our click-through rates because the semantic matching understood the context of user queries far better than our old keyword-based system. It has ultimately freed up my engineering team to focus on building new machine learning features rather than constantly patching and scaling search infrastructure. ### 12. Vertex AI Search Makes Enterprise Search Simple with Seamless Google Cloud Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Rishabh C. | Ai trainer, Information Technology and Services, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 27, 2026 **What do you like best about Vertex AI Search?** Honestly, what I like best about Vertex AI Search is how much it simplifies something that's traditionally been really complex. Building a reliable search experience over your own enterprise data used to require a lot of moving parts — but Vertex AI Search brings it all together in one place. The seamless integration with Google Cloud is a big plus — everything just connects without a lot of friction. But what really stands out to me is the built-in RAG support and the Gemini integration, which means you're not just getting keyword matches — you're getting intelligent, grounded responses that actually make sense in context. I also appreciate that it handles both structured and unstructured data well, so you're not limited in terms of what you can search over. And the fact that it's fully managed takes a huge operational burden off the team — you're not worrying about infrastructure, scaling, or relevance tuning from scratch. Overall, it strikes a good balance between being powerful enough for serious enterprise use cases and accessible enough that you don't need to be a search expert to get real value out of it quickly. On a daily basis, Vertex AI Search has become one of those tools that quietly makes a big difference. It's not something you think about much once it's set up — it just works. We use it to search across internal documents, knowledge bases, and structured data, and the quality of results has been consistently strong. The RAG-powered responses save a lot of back-and-forth that used to happen when people couldn't find what they needed quickly. There are occasional moments where you have to refine a query or double-check an AI-generated answer, but overall it's become a reliable part of our daily workflow rather than a friction point. **What do you dislike about Vertex AI Search?** If I'm being honest, there are a few pain points that I've run into with Vertex AI Search that are worth mentioning. First, the pricing can get complex and costly pretty quickly — especially as your data volume and query load scales up. It's not always easy to predict costs upfront, which can be a challenge when you're trying to plan budgets. Second, the customization options can feel limiting at times. If you have very specific ranking or relevance requirements, you might find yourself working around the platform rather than with it. It doesn't always give you the fine-grained control that more traditional search engines offer. Third, the documentation and tooling, while improving, can still feel a bit immature in certain areas. There are moments where you hit a use case that isn't well covered, and finding answers requires a lot of trial and error or digging through community forums. And lastly, being tightly coupled to the Google Cloud ecosystem is great if you're all-in on GCP — but if your stack is multi-cloud or hybrid, that dependency can feel like a constraint rather than a benefit. Overall, it's still a strong product, but these are areas where I think there's clear room for improvement. **What problems is Vertex AI Search solving and how is that benefiting you?** Before using Vertex AI Search, one of the biggest challenges we faced was making sense of large volumes of scattered, unstructured data — documents, PDFs, internal knowledge bases — that were technically available but practically impossible to search through effectively. Traditional keyword-based search just wasn't cutting it, and building a custom solution would have required significant engineering effort. Vertex AI Search solved that by giving us a way to index all of that content and surface genuinely relevant results using semantic understanding, not just keyword matching. That alone was a huge win — people on the team could actually find what they needed, when they needed it. Beyond that, the built-in RAG capabilities meant we could go a step further — not just returning documents, but generating grounded, context-aware answers from those documents using Gemini. That's been a game changer for productivity, because instead of reading through five different files to find an answer, users get a direct, accurate response with the source to back it up. From a practical standpoint, it has also significantly reduced the time and resources we would have spent building and maintaining a custom search pipeline. The managed infrastructure means we're not babysitting servers or constantly tuning relevance algorithms — that time goes back into actually building products. Overall, it's helped us turn our data from something that was just sitting there into something that's actively useful — and that's had a real impact on both team efficiency and the quality of decisions being made day to day. ### 13. Fast, Surfaces Highly Relevant Results **Rating:** 5.0/5.0 stars **Reviewed by:** ROHAN H. | Junior Tranie, Chemicals, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 19, 2026 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Vertex AI Search?** What I like most about Vertex AI Search is how quickly it finds relevant information without making me sift through a bunch of pages manually. The search experience feels intuitive, and I appreciate that the results stay focused on what I’m actually looking for instead of surfacing random, unrelated information. **What do you dislike about Vertex AI Search?** One thing I dislike about Vertex AI Search is that the results aren’t always exactly what I’m expecting, especially when my query is broad or a bit unclear. In those cases, I often have to tweak the wording and run a few different searches before I get the most useful result. **What problems is Vertex AI Search solving and how is that benefiting you?** Vertex AI Search helps address the problem of spending too much time digging through large amounts of information just to find something specific. For me, the biggest benefit is the time savings and being able to get relevant information faster. It makes research smoother and lets me focus more on the actual work, rather than searching manually. ### 14. AI-Powered Search That Delivers More Relevant Results **Rating:** 4.0/5.0 stars **Reviewed by:** Sanjeev S. | Cybersecurity Engineer, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 27, 2026 **What do you like best about Vertex AI Search?** What I like most is the ability to provide more relevant search results using AI, instead of relying only on exact keyword matching. It is also convenient to connect different sources and make information easier for users to find. **What do you dislike about Vertex AI Search?** The initial setup and configuration can take some time, especially when connecting different data sources. It also takes some time to understand the available features and get the search results tuned properly. **What problems is Vertex AI Search solving and how is that benefiting you?** It helps us make information easier to find across different sources without relying only on traditional keyboard-based searches. It reduces the time users spend going through large amounts of information and helps them get more relevant results based on the context of their query. This has made information quick and more convenient for our users, while also reducing the effort required to build and maintain a search solution internally. ### 15. Hyper-Relevant Search Results with Seamless Integrations and Clean UI/UX **Rating:** 5.0/5.0 stars **Reviewed by:** Aditi P. | HR Coordinator, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through Google One Tap using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** August 28, 2026 **What do you like best about Vertex AI Search?** What I like best about Vertex AI Search is how effortlessly it pairs high-grade AI intelligence and top-tier performance with seamless integrations and a clean UI/UX. Combined with reliable support/onboarding and clear pricing/ROI, it delivers hyper-relevant search results out of the box while maximizing business value. **What do you dislike about Vertex AI Search?** While Vertex AI Search offers strong underlying AI intelligence and performance, the primary drawbacks are its steep pricing/ROI for lower-volume use cases and complex UI/UX setup. Additionally, initial data source integrations and support/onboarding documentation can require a steep learning curve to properly configure edge-case search behavior. **What problems is Vertex AI Search solving and how is that benefiting you?** Vertex AI Search solves the challenge of scattered enterprise data by leveraging advanced AI intelligence to deliver fast, highly accurate semantic search across systems. This benefits us through seamless integrations and exceptional performance, eliminating setup friction while significantly improving team productivity, UI/UX efficiency, and overall ROI. ### 16. Game-Changing Personalized Search with Fast Performance and Strong ROI **Rating:** 4.0/5.0 stars **Reviewed by:** Melusi K. | Product Owner, Retail, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** August 27, 2026 **What do you like best about Vertex AI Search?** Being able to personalize frontend search based on real-time customer shopping behavior has been a real game-changer for us. The integration with our Shopify instance was effortless, and the UI-side visual merchandising tools are straightforward to manage. Search performance is noticeably faster, customers are adopting the AI suggestions at a high rate, and the conversion lift has translated into an impressive ROI. **What do you dislike about Vertex AI Search?** One issue I’ve had is with support from the Google team. When I’ve needed urgent production support, the turnaround time has been pretty bad. **What problems is Vertex AI Search solving and how is that benefiting you?** User journey personalisation on Shopify, we use it to power both search and browsing. ### 17. Vertex AI Search: Fast, Relevant Results with an Easy-to-Use UI **Rating:** 4.5/5.0 stars **Reviewed by:** Harish B. | Developer, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 24, 2026 **What do you like best about Vertex AI Search?** I like Vertex AI Search because it’s easy to use and gives fast, relevant results. The UI is simple, integrations work well, and the AI features make searching easier. Performance is good. **What do you dislike about Vertex AI Search?** The pricing can be a bit confusing, especially for smaller project. The initial setup also takes some time, and beginners may need to go through the documentation to get everything working proper. **What problems is Vertex AI Search solving and how is that benefiting you?** It helps me find relevant information quickly without going through lots of data manually. The AI-powered search saves time. ### 18. Vertex AI Search Makes Finding Information Fast and Easy **Rating:** 5.0/5.0 stars **Reviewed by:** Krishna T. | Retail Associate, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 23, 2026 **What do you like best about Vertex AI Search?** I like Vertex AI Search because it is easy to use and helps me find the information fast. The search understands what I am looking for even if I don't use exact words. It saves my time and makes finding data more simple. **What do you dislike about Vertex AI Search?** Sometimes the search results are not very accurate and I need to search again with different words. Also, some results can be confusing and take a little time to find the exact information I need. **What problems is Vertex AI Search solving and how is that benefiting you?** Vertex AI Search solves the problem of finding information from lots of data. It helps me to get relevant information faster without checking many pages. It saves my time and makes my work easier. ### 19. Trustworthy Smart Answers That Save Time Digging Through PDFs **Rating:** 5.0/5.0 stars **Reviewed by:** Pravesh D. | Human resource, Manufacturing, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 03, 2026 **What do you like best about Vertex AI Search?** This Vertex search is managed by Google Cloud Service, so once you feed it your company's documents or website, it actually works for you as your trustworthy assistant, providing smart answers instead of links and lots of PDFs. It saves our team a lot of time by just digging through PDFs. Setting up the widget for our website was quick too. **What do you dislike about Vertex AI Search?** Everything seems so well, but I find the pricing a bit expensive, especially for small and startup companies. **What problems is Vertex AI Search solving and how is that benefiting you?** The biggest problem of any company is finding the exact data at the exact time, and this has been solved so effectively that our team no longer has to manually search through PDFs or any folder to find answers. ### 20. Vertex AI: Fast, Ad-Free Answers to My Questions **Rating:** 4.0/5.0 stars **Reviewed by:** Dugganapalli A. | Code developer (fresher), Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 12, 2026 **What do you like best about Vertex AI Search?** Vertex ai makes me to find the answers of my doudts and questions easily and it doesn't run ads and it makes the answers very quick and it has the ability to find the best answer for us **What do you dislike about Vertex AI Search?** Only dislike of vertex ai is unexpected costs and not providing the extact price and vertex ai should provide a fixed prices for that **What problems is Vertex AI Search solving and how is that benefiting you?** Complex RAG development and keyboard management and it helps me to arrange data correction and this makes me to find the mistakes in RAG easily ### 21. Reliable Natural Language Search, but Poor Grounding and Too Many Dead Links **Rating:** 2.0/5.0 stars **Reviewed by:** Sayan B. | Software Engineer-I, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** July 21, 2026 **What do you like best about Vertex AI Search?** The information which we are looking for - that can be obtained using a natural language query and looking for general information is quite reliable, which you would get using google search. **What do you dislike about Vertex AI Search?** Grounding is a disaster, grounding metadata is pretty useless and most of the links given by vertex ai search lead to dead links, so it's not useful for looking up real time information especially like ecommerce data. **What problems is Vertex AI Search solving and how is that benefiting you?** Vertex AI is the successor to Custom Search API and it easily integrates with LLM workflows and agents, which we actively develop here at Better. ### 22. Vertex AI Search’s Fully Managed RAG Capability Stands Out **Rating:** 5.0/5.0 stars **Reviewed by:** Parsapalli G. | Project Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 09, 2026 **What do you like best about Vertex AI Search?** What stands out about vertex ai search is that its fully managed RAG capability **What do you dislike about Vertex AI Search?** What I dislike about Vertex AI Search is that it gets expensive very quickly when you use it a lot. Setting it up is hard if you aren't already using Google Cloud **What problems is Vertex AI Search solving and how is that benefiting you?** Vertex AI Search solves the hassle of finding information hidden across scattered company files. It benefits me by understanding actual context instead of just matching keywords, quickly giving me accurate answers and saving hours of manual searching. ### 23. Zero-Headache Enterprise Search: Turning Messy Data into Instant Answers **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 04, 2026 **What do you like best about Vertex AI Search?** Honestly, Vertex AI Search just makes life so much easier. It takes all the headache out of building generative AI search apps and gives teams a ready-to-use platform that gets up and running incredibly fast. Here’s what stands out most to me from a TAM perspective: No more duct-taping tools together: Building AI search usually means piecing together vector databases, embedding models, and custom code. Vertex does all that heavy lifting for you right out of the box. Teams can go from a cool idea to a working app in days instead of months. It actually cites its sources: This is a massive win for clients. The AI grounds its answers strictly in your own data and provides exact citations and links back to the original documents. It really cuts down on the AI "hallucinating" or making things up, which builds so much trust with users. **What do you dislike about Vertex AI Search?** As much as I love the platform, it’s not a magic wand. If your team isn't already comfortable navigating Google Cloud, the setup can feel a bit overwhelming, and if you aren't careful, the costs can sneak up on you. **What problems is Vertex AI Search solving and how is that benefiting you?** The biggest problem it solves is the "build vs. buy" dilemma for enterprise AI, while finally curing the headache of internal data silos. It lets teams confidently deploy AI search without drowning in infrastructure maintenance. Here are the specific problems it solves and how my clients benefit: Problem: The "Where did I save that?" time-sink. Benefit: Before Vertex AI Search, employees wasted hours trying to guess the exact keywords to find an HR policy or technical doc across multiple platforms. Because Vertex uses true semantic search (understanding the intent of a question, not just matching words), users can ask natural questions like, "What's our policy on remote work expenses?" and get an instant, summarized answer. It reclaims a massive amount of lost productivity. ### 24. Powerful Custom Database Idea, But Setup and UI Felt Too Complicated **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Architecture & Planning | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** August 06, 2026 **What do you like best about Vertex AI Search?** Although I couldn't get my head around using it and setting it up, I do like the principle. I like how you can create your own data base, upload all your documents, websites, spreadsheets etc and put them into your own database for searching or using an ai to read and to chat with about certain information **What do you dislike about Vertex AI Search?** I just couldn't get my head around using it. although it seems easy to set up, I just couldn't do it. no amount of videos or guides was helping me set it up. it was too complicated for me to understand and the user interface felt a bit messy **What problems is Vertex AI Search solving and how is that benefiting you?** the problem it would have solved was to have a database about information using documents, websites and spreadsheets and to use an ai to search though this database looking for correct information. ### 25. Fast, Relevant AI Search—But Setup and Advanced Features Take Know-How **Rating:** 3.5/5.0 stars **Reviewed by:** Lakshmidas P. | 15 years of Experience in U.S. telecom provisioning, Telecommunications, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** July 28, 2026 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Vertex AI Search?** Vertex AI Search is fast and easy to use. It helps me find the right information quickly, so I don’t have to spend much time searching. **What do you dislike about Vertex AI Search?** I’d really like to see a simpler setup process and more affordable pricing options for smaller teams. A few of the features also come with a bit of a learning curve, so it can take some time to get fully comfortable with everything. **What problems is Vertex AI Search solving and how is that benefiting you?** Vertex AI Search pulls information from different systems into a single place. It makes it easier for me to find answers quickly, and it has improved my day-to-day work. ### 26. Accurate Regional-Language Document Parsing and English Translation Made Easy **Rating:** 5.0/5.0 stars **Reviewed by:** Akshay R. | Senior Manager - Operations, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 31, 2026 **What do you like best about Vertex AI Search?** It is amazing at parsing through complex documents in various regional languages and providing translated documentin english with minimum formatting requirement. Quick easy to use and the level of accuracy is very high. **What do you dislike about Vertex AI Search?** Takes a bit of time to produce output, but to be fair the purpose for which we are using it is fairly complex as well. **What problems is Vertex AI Search solving and how is that benefiting you?** As mentioned, it is great at translating documents and information in regional languages and providing consistent high quality output. ### 27. Makes Information Instantly Accessible **Rating:** 5.0/5.0 stars **Reviewed by:** Elmarie D. | Service Desk Lead, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** July 16, 2026 **What do you like best about Vertex AI Search?** It makes Compliance Online's information feel instantly accessible without employees needing to know exactly where each document is stored or which word to search for. **What do you dislike about Vertex AI Search?** There is quite a lot of effort in the initial setup stage. If you have multiple versions of the same document or instructions that differ due to updates/changes it results in inconsistent answers. **What problems is Vertex AI Search solving and how is that benefiting you?** The fact that we are now able to ask a complicated work question in ordinary language and receive (immediately) a clear answer sourced from our own internal information. This reduces time and effort in searching for relevant documents/information. ### 28. Vertex AI Vector Search’s Hybrid Search Delivers the Best of Keywords and Vectors **Rating:** 4.5/5.0 stars **Reviewed by:** Lakhan K. | Data Scientist, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 24, 2026 **What do you like best about Vertex AI Search?** The feature I like most about Vertex AI Vector Search is its hybrid search capability, which combines keyword search with vector-based search. **What do you dislike about Vertex AI Search?** The available embedding models are limited to Google’s embedding models offered through Google Cloud. **What problems is Vertex AI Search solving and how is that benefiting you?** We used Vertex AI Search to build a search console where we can look up content by actor, movie name, and more. It also lets us search by scene descriptions, which makes it easier to find what we need. ### 29. Powerful Natural-Language Answers, but a Complex Interface for Beginners **Rating:** 3.5/5.0 stars **Reviewed by:** yash t. | Solar Consultant, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 27, 2026 **What do you like best about Vertex AI Search?** I like its ability to understand natural-language queries and quickly deliver relevant, AI-generated answers based on enterprise data. **What do you dislike about Vertex AI Search?** The interface can feel complex for beginners, and advanced customization may require significant technical knowledge. **What problems is Vertex AI Search solving and how is that benefiting you?** It helps me quickly find relevant information across large amounts of data, reducing manual searching and saving time when researching or making decisions. ### 30. Vertex AI Handles Work Smartly with Accuracy and Perfection **Rating:** 5.0/5.0 stars **Reviewed by:** Shivani S. | Consultant, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** September 03, 2026 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Vertex AI Search?** The best thing I like about vertex ai is just need to introduce once in our professional work then after it will handle all our work smartly with the accuracy and perfection **What do you dislike about Vertex AI Search?** It need proper inputs to support your documents and I like expensive. **What problems is Vertex AI Search solving and how is that benefiting you?** A long files and documents can be solved with in short period of time. ### 31. Vertex AI + Gemini: Great Results for RAG and Semantic Search **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 11, 2026 **What do you like best about Vertex AI Search?** We’ve been using Vertex AI for our RAG pipeline built around Cloud Storage files and BigQuery data. So far, it’s been working great with the new Gemini version. Semantic search is also working well. **What do you dislike about Vertex AI Search?** It doesn’t support complete, exact data and, in most cases, only covers partial data. **What problems is Vertex AI Search solving and how is that benefiting you?** We built a chatbot with conversation intelligence integration that calls Vertex AI to help summarize conversations and better support customers. ### 32. Powerful AI Search Performance, but the UI Feels a Bit Clunky **Rating:** 3.5/5.0 stars **Reviewed by:** Don A. | Internal Consultant, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a review partner **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 27, 2026 **What do you like best about Vertex AI Search?** Powerful performance when searching using the AI features. If there are improvements to the UI then I can consider value but at this point is difficult to think about value at still at the implementing stage. **What do you dislike about Vertex AI Search?** The UI can be a bit smoother. Seems to be a bit clunky in places. **What problems is Vertex AI Search solving and how is that benefiting you?** Search function is super quick and intuitive. ### 33. Kunal Jaipuriar’s Review **Rating:** 5.0/5.0 stars **Reviewed by:** KUNAL J. | Senior Technical Architect - RPA, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 06, 2026 **What do you like best about Vertex AI Search?** It leverages google’s search expertise and provides a grounded reply with minimal implementation effort **What do you dislike about Vertex AI Search?** Its a a huge ecosystem dependencies. Also, the search quality is dependent on content quality. Cost is also an aspect to be unhappy **What problems is Vertex AI Search solving and how is that benefiting you?** While customer as well as service providers struggle to find accurate response across the large volume of enterprise data. Mainly Vertex AI search is becomes saviour in those ### 34. Fast Access to Internal Knowledge and Data Retrieval **Rating:** 4.0/5.0 stars **Reviewed by:** Madan N. | Customer Support, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** August 19, 2026 **What do you like best about Vertex AI Search?** I use it at Foundry to retrieve our internal knowledge base, query internal databases, and search for relevant data across websites. **What do you dislike about Vertex AI Search?** One thing I don’t like about it is the slow indexing times. **What problems is Vertex AI Search solving and how is that benefiting you?** It’s helpful because it connects multiple data sources. One key feature is RAG, and the results stay grounded in the company’s data. ### 35. Makes High-Quality Enterprise Search Easy to Ship **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Accounting | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 27, 2026 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Vertex AI Search?** It makes it much easier to ship high-quality enterprise search. **What do you dislike about Vertex AI Search?** Even with the managed approach, relevance tuning may still require careful work. **What problems is Vertex AI Search solving and how is that benefiting you?** I’m able to get more relevant answers when I ask questions in natural language. ### 36. Highly Effective for Building AI-Powered Search and Conversational Apps **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through Google One Tap using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 11, 2026 **What do you like best about Vertex AI Search?** It’s highly effective and useful for building AI-powered search and conversational applications. **What do you dislike about Vertex AI Search?** When working with large datasets, the initial setup can feel slow, especially if you have limited coding experience. **What problems is Vertex AI Search solving and how is that benefiting you?** It addresses key enterprise challenges in information discovery, knowledge management, and AI-driven conversational search. ### 37. Clear AI Summaries and Exact Answers That Save Time **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consulting | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** August 15, 2026 **What do you like best about Vertex AI Search?** Rather than forcing users to sift through long lists of web pages or documents, it uses generative AI to produce clear summaries and surface exact answers. **What do you dislike about Vertex AI Search?** Newly uploaded documents in connected storage buckets or tables don’t show up right away. They often take anywhere from a few minutes to several hours before they become searchable. **What problems is Vertex AI Search solving and how is that benefiting you?** Information often ends up trapped across separate files, databases, and websites, which makes it difficult for employees or customers to find what they need. ### 38. Great for Agent Test Models and Jumpstarting POCs **Rating:** 5.0/5.0 stars **Reviewed by:** Aditya S. | Business Analyst, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 27, 2026 **What do you like best about Vertex AI Search?** It is useful for creating agent test models and initiating POCs. **What do you dislike about Vertex AI Search?** The UI used to be bad, but now it’s good. I’m enjoying it. **What problems is Vertex AI Search solving and how is that benefiting you?** It helped me work on AI agents and vertex-based LLM inferencing. ### 39. vertix ai search **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 05, 2026 **What do you like best about Vertex AI Search?** It provides grounded answers, and automatic indexing, sitemap syncing, and scaling are handled out of the box. This makes it easy for developers to deploy high-performance search in minutes instead of months. **What do you dislike about Vertex AI Search?** Setup and parsing time, url matching pattern **What problems is Vertex AI Search solving and how is that benefiting you?** Mostly used for parsing and navigating and searching in huge excel files data ### 40. Vertex AI Excels at RAG and Model Building **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 13, 2026 **What do you like best about Vertex AI Search?** The best thing of vertex ai is building retrieval - augmented generation,and building and trained ai models. **What do you dislike about Vertex AI Search?** Vertex sometimes servers do not ready give output on time **What problems is Vertex AI Search solving and how is that benefiting you?** It helps me alot in solving unstructured data silos and inaccurate search results and making the everything organized. ### 41. Enables GenAI on Enterprise Documents and storage **Rating:** 4.0/5.0 stars **Reviewed by:** Avineet A. | Senior Architect, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** May 02, 2024 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Vertex AI Search?** Ease of integrating the documents as well as any storage like BigQuery and more recently CloudSQL and other data via API mechanism. It does all the Vector embedding, Ranking, RAG all in the background and is pretty fast or the search results are instantaneous. **What do you dislike about Vertex AI Search?** The limited data integration capabilities. Limitation to have own the domain to enable search on it. Can't index 3rd party domain, which AWS Kendra allows with acceptable use policy. **What problems is Vertex AI Search solving and how is that benefiting you?** We solved the Enterprise search and enabled conversation with the documents like no other. The conversation is enabled and powered by GenAI (gemini) is very quick and easy to integrate. Liked the way we can create search, chat bots and enterprise searches on other document storage mediums. Easy to maintain and administer when needed. Easy to integrate to an existing Enterprise web application. ### 42. Great set of toolsets for text needs **Rating:** 3.5/5.0 stars **Reviewed by:** Shreyash R. | Machine Learning Engineer, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** December 04, 2024 **What do you like best about Vertex AI Search?** It is a unified platform that enables seamless integration with your products **What do you dislike about Vertex AI Search?** Data privacy and model bias are the 2 big issues that I have faced **What problems is Vertex AI Search solving and how is that benefiting you?** Trying to integrate vertex AI capabilities to automate the service desk operations and also to provide recommendations on our product ### 43. Tools to accelerate building agents and applications **Rating:** 4.0/5.0 stars **Reviewed by:** Raj B. | Associate Manager - Marketing Strategy, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** November 06, 2024 **What do you like best about Vertex AI Search?** Customized conversation, tailored to one's needs making the responses relevant Keeps learning and enhancing solutions **What do you dislike about Vertex AI Search?** Security concerns since it is connected to internal data systems **What problems is Vertex AI Search solving and how is that benefiting you?** Helps in using an agent without any coding getting customized responses building agents and apps quicker ### 44. Google’s search performance, but now with AI **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Insurance | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** January 29, 2024 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Vertex AI Search?** Google's existing search performance is there, but also with Generative AI. No-code solution, easy to start. Built in scraper so that you don't need to write any code at all and have a UI available already OOTB. **What do you dislike about Vertex AI Search?** The URL pattern matching, as well as how snippets are generated, is blackbox. **What problems is Vertex AI Search solving and how is that benefiting you?** No-code to build an index of the company's marketing website ### 45. Recommended services by Google cloud **Rating:** 4.0/5.0 stars **Reviewed by:** Danya V. | Data Analyst, Information Technology and Services, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Source: Organic Review from User Profile:** Invitation from G2. This reviewer was not provided any incentive by G2 for completing this review. **Reviewed Date:** February 19, 2024 **What do you like best about Vertex AI Search?** Vertex AI Search has the ability to scale machine learning models and Pre build models.AutoML helps in automating some parts of Machine learning. **What do you dislike about Vertex AI Search?** Cloud based services will not connect if the internet connectivity is poor. The platform is a little complex for a users to start and comprehend few metrics. **What problems is Vertex AI Search solving and how is that benefiting you?** Machine learning platforms improve decision-making, save time and resources, offer personalized user experiences, provide scalability and flexibility, and include pre-trained models and APIs for advanced capabilities like natural language processing and image recognition. ### 46. Quick Implementation of Search enabled by GenAI by Google **Rating:** 3.5/5.0 stars **Reviewed by:** Avineet A. | Sr. Cloud Architect, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** January 23, 2024 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Vertex AI Search?** Simple and less than 5 steps setup of search and conversation on any website or storage or structured or unstructured data that an organization can have. Can start to converse with the data as soon as 1 hr of setup. **What do you dislike about Vertex AI Search?** Setup takes a while for some unstructured data and if the files are huge for it to be indexed and be available for search. Conversations may not be completely accurate. **What problems is Vertex AI Search solving and how is that benefiting you?** Implementing Enterprise search with GenAI capabilities and quick integration that it has as a native capability. Easy to setup and be ready for use. ### 47. Vertex AI Search and Conversation: making conversational product pilots easier **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Airlines/Aviation | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** February 13, 2024 **What do you like best about Vertex AI Search?** We used Vertex AI Search and Conversation for a chatbot PoC last month. The straightforward orchestration interface that reduced need for code making pilots easier to implement. Still enabled that functionality for situations where further customisation was required. **What do you dislike about Vertex AI Search?** Technical documentation needs alot of work, we had to figure it out blind. **What problems is Vertex AI Search solving and how is that benefiting you?** Knowledge wiki chatbot for faster search and retrieval of information, and personalised answers to questions based on that information. ### 48. Vertex AI Feature that is easy and useful! **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** January 29, 2024 **What do you like best about Vertex AI Search?** That it is a managed service integrated with all GCP tools. Also, the value that is possible to offer, since it is possible to provide generative AI for conversations and interaction with customers for any business. **What do you dislike about Vertex AI Search?** Sometimes it is a bit difficult to implement if the engineer does not have a strong background in coding. **What problems is Vertex AI Search solving and how is that benefiting you?** Chatbot implementation, customer satisfaction, faster response ## Vertex AI Search Discussions - [Vertex AI Search: How do you handle login issues when the analytics are solid?](https://www.g2.com/discussions/vertex-ai-search-how-do-you-handle-login-issues-when-the-analytics-are-solid) - [View Vertex AI Search pricing details and edition comparison](https://www.g2.com/products/vertex-ai-search/reviews?section=pricing&secure%5Bexpires_at%5D=2026-09-30+02%3A32%3A17+-0500&secure%5Bsession_id%5D=99d78bbd-bf21-40d7-a5f6-62b6f7010648&secure%5Btoken%5D=6ed4adc3910f3632b51e97a117ca3f78883116716a96a2fa4873f8e612b76544&format=llm_user) ## Vertex AI Search Features **Agentic AI - Site Search** - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Semantic Search & Query Understanding - AI Search and Discovery Platforms** - Intent aware search - Context aware query handling - Natural language query support **Search Experience Management - Site Search** - Query Suggestions - Typo Tolerance - Synonyms - Natural Language - Rankings - Personalization **Data Indexing - AI Search and Discovery Platforms** - Multi system indexing - Multi format indexing - Automatic index updates **Functionality - Site Search** - Search Analytics - Integrations - Federated Search - Multi-Language Support **Search Result Relevance - AI Search and Discovery Platforms** - Relevance-based ranking - Search relevance configuration - Behavioral result improvement **Generative AI - Site Search** - Text Generation - Text Summarization **Personalization & Recommendations - AI Search and Discovery Platforms** - User based result personalization - Behavior driven recommendations - Contextual content recommendations ## Top Vertex AI Search Alternatives - [Algolia](https://www.g2.com/products/algolia/reviews) - 4.5/5.0 (432 reviews) - [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews) - 4.5/5.0 (289 reviews) - [Luigi's Box](https://www.g2.com/products/luigi-s-box/reviews) - 4.8/5.0 (431 reviews)