# Best AI Search & Retrieval Infrastructure Platforms Software ## How Many AI Search & Retrieval Infrastructure Platforms Software Products Does G2 Track? **Total Products under this Category:** 64 ### Category Stats (Aug 2026) - **Average Rating:** 4.62/5 (↓0.02 vs Jul 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** Weaviate (+0.33%) - Among all products in this category, Weaviate recorded the largest rating increase compared to last month _Last updated: August 01, 2026_ ## How Does G2 Rank AI Search & Retrieval Infrastructure Platforms Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 1,300+ Authentic Reviews - 64+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. **Sponsored** ### Gemini Enterprise Agent Platform Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents and models. It's a single destination for technical teams to build agents that can transform enterprise applications and workflows into powerful agentic systems. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1013031&secure%5Bchosen_at%5D=2026-08-02T06%3A01%3A16Z&secure%5Bdisplayable_resource_id%5D=1013031&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1013031&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=21469&secure%5Bresource_id%5D=1013031&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fai-search-retrieval-infrastructure-platforms%3Fopen_modal_url%3D%252Fproducts%252Fvecstore%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fai-search-retrieval-infrastructure-platforms%2526source%253Dcategory&secure%5Btoken%5D=0678e277aa8160f9fdbc16916e77cefae4951c630131670239b2955a0d3d7593&secure%5Burl%5D=https%3A%2F%2Fcloud.google.com%2Fproducts%2Fgemini-enterprise-agent-platform%3Futm_source%3DG2%26utm_medium%3Ddisplay%26utm_campaign%3DCloud-SS-DR-GCP-1713658-GCP-DR-NA-US-en-G2-Display-Banner-All-%2525epid%21-%2525ecid%21-geap%26utm_content%3D%257Bdevice%257D-%257Badgroupid%257D-%257Bnetwork%257D-%257Btargetid%257D-%257Bloc_physical_ms%257D-%257Bcampaignid%257D&secure%5Burl_type%5D=custom_url) ### [SearchStax](https://www.g2.com/products/searchstax/reviews) SearchStax - the Search Experience Company - enables marketers and developers to deliver fast, relevant website search experiences. SearchStax Site Search is an AI-powered solution engineered to give marketers the agility they need to optimize site search outcomes with full visibility into search analytics and the tools to improve relevancy, promote content and make updates with just a few clicks. SearchStax Managed Search service makes it easier to manage highly-available and scalable Solr infrastructure in any cloud. SearchStax Site Search Features ------------------------------------------- • Intelligence and AI - Smart Answers, Smart Ranking, Auto-suggestions, Related Searches, Most Popular Searches, Smart Match Assist • Search and Discovery Experience - Filters, Facets, Grid/List Views, Sorting, Spell Check, Hit Highlighting, Location-based Search • Site Search Analytics and Insights - Search Insights, Advanced Analytics, Export Data as CSV, Reporting APIs • Marketing Optimization Tools - Promotions, Synonyms, Branded Dictionary, Ranking and Boost • Enhanced Features - Location Search, Program Search, Events Search, People Search, Multi-language (\> 40 languages) • Security and Compliance - GDPR, WCAG 2.2 AA, AICPA SOC 2, ISO-IEC 27001, HIPAA • Data Connectors - Crawler, APIs, Search UI Kits. Drupal and Sitecore Modules We are headquartered in Los Angeles, California with a distributed team located around the world. **Average Rating:** 4.5/5.0 **Total Reviews:** 173 #### Who Is the Company Behind SearchStax? - **Seller:** [SearchStax](https://www.g2.com/sellers/searchstax-262efa93-1dcb-4b5d-a4a4-002b8ffff8e4) - **Company Website:** www.searchstax.com - **Year Founded:** 2015 - **HQ Location:** El Segundo, CA - **Twitter:** @SearchStax 841 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4b2584c3a9977ee90a9a6d52133efc2d0d89a15d002aac120a0d3529c89bbfe8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsearchstax%2F&secure%5Burl_type%5D=linkedin_company_website) 111 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services, Hospital & Health Care - **Company Size:** 42% Medium, 41% Large #### What Do G2 Reviewers Say About SearchStax? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **excellent customer support** of SearchStax, which simplifies and enhances their implementation experience. - Users value the **responsive support** from SearchStax, which greatly simplifies the onboarding process and setup. - Users appreciate the **ease of use** of SearchStax, enjoying its intuitive interface and straightforward management capabilities. - Users commend the **setup ease** of SearchStax, appreciating quick installation, excellent documentation, and supportive services. - Users appreciate the **easy integrations** with SearchStax, enhancing their operational efficiency and user experience. ##### Cons - Users feel the **high pricing** of SearchStax is a significant burden, particularly impacting startups and flexibility for customers. - Users feel that **SearchStax support and interface require improvement** , as usability issues complicate the user experience. - Users find the **search functionality limited** , wishing for more control and flexibility in their experience. - Users feel that **customer support is lacking** , particularly regarding response times and overall service quality. - Users experience **slow performance** during high data pushes, requiring inconvenient restarts and causing notable slowdowns. #### What Are Recent G2 Reviews of SearchStax? **["Managed Search review"](https://www.g2.com/survey_responses/searchstax-review-5353976)** **Rating:** 5.0/5.0 stars _— Manolis P._ [Read full review](https://www.g2.com/survey_responses/searchstax-review-5353976) **["Highly Customizable Search with Insightful Analytics"](https://www.g2.com/survey_responses/searchstax-review-10049114)** **Rating:** 4.5/5.0 stars _— Michael M._ [Read full review](https://www.g2.com/survey_responses/searchstax-review-10049114) #### What Are G2 Users Discussing About SearchStax? - [What is SearchStax used for?](https://www.g2.com/discussions/what-is-searchstax-used-for) - 1 comment, 1 upvote ### [Pinecone](https://www.g2.com/products/pinecone/reviews) Pinecone is the developer-favorite and most trusted vector database for building accurate and performant AI applications at scale in production. Fully managed, easy to use, with the best cost/performance at scale. **Average Rating:** 4.6/5.0 **Total Reviews:** 46 #### Who Is the Company Behind Pinecone? - **Seller:** [Pinecone Systems](https://www.g2.com/sellers/pinecone-systems) - **Year Founded:** 2019 - **HQ Location:** New York, NY - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1009fb55e5b7a2a8c4018edaa3d28bcf9e2151ca5594d0f56607aca2797b652f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpinecone-io%2F&secure%5Burl_type%5D=linkedin_company_website) 135 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 78% Small, 20% Medium #### What Are Recent G2 Reviews of Pinecone? **["Fast and Reliable Vector Database for AI Projects"](https://www.g2.com/survey_responses/pinecone-review-13194232)** **Rating:** 4.0/5.0 stars _— Muhammad O._ [Read full review](https://www.g2.com/survey_responses/pinecone-review-13194232) **["Fast, Hands-Off Serverless Vector Search That Scales Effortlessly"](https://www.g2.com/survey_responses/pinecone-review-13195075)** **Rating:** 4.5/5.0 stars _— Muhammed A._ [Read full review](https://www.g2.com/survey_responses/pinecone-review-13195075) ### [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews) Build next generation search experiences for your customers and employees that support your organization’s technology objectives. Elasticsearch gives developers a flexible toolkit to build AI-powered search applications with an extensible platform that also provides out of the box capabilities Save development cycles and get upgraded search to market faster. Elasticsearch is the world’s most popular search engine, backed by a robust developer community. Elastic’s platform lets you ingest any data source, build modern search experiences that integrate with large language models and generative AI, and visualize analytics for data-driven decision-making and insights. Our consistent investments in machine learning help developers stay ahead of the curve with the fast, highly relevant search, at scale. -- Flexible platform and toolkit to deliver powerful search functionality regardless of development resources and technology objectives. Our open platform delivers consistent functionality for cloud, hybrid, or on-prem deployments with exceptional performance, reliability, and scalability. -- Built-in search analytics and visualization tools give teams access to search data and real-time dashboards for optimizing search results and operations. Non-tech teams can tune search experiences too–no development team needed. -- Next level search relevance using textual search, vector search, hybrid, and semantic search and machine learning model flexibility. Powerful capabilities like a vector database provide the foundation for creating, storing, and searching embeddings to capture the context of your unstructured data. Use machine-learning enabled inference at data ingestion, and bring your own model - open or proprietary - to deliver the best, industry-specific results. **Average Rating:** 4.5/5.0 **Total Reviews:** 288 #### Who Is the Company Behind Elasticsearch? - **Seller:** [Elastic](https://www.g2.com/sellers/elastic) - **Company Website:** www.elastic.co - **Year Founded:** 2012 - **HQ Location:** San Francisco, CA - **Twitter:** @elastic 65,200 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bc8e533876f16af617380aaa3922cb6a39a1d6233f0b32a0fa987a5fdffd799e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F814025%2F&secure%5Burl_type%5D=linkedin_company_website) 5,079 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 38% Medium, 33% Large #### What Do G2 Reviewers Say About Elasticsearch? _AI-generated summary from verified user reviews_ ##### Pros - Users find Elasticsearch extremely **easy to use** , enhancing their integration and observability capabilities effortlessly. - Users commend Elasticsearch for its **impressive speed** , efficiently handling large datasets and ensuring smooth scalability. - Users value **fast search capabilities** in Elasticsearch, enabling quick access to large datasets and streamlined operations. - Users find the **blazing-fast performance** and thorough documentation of Elasticsearch immensely beneficial for their search needs. - Users admire the **powerful search and aggregation features** of Elasticsearch, appreciating its performance and flexibility at scale. ##### Cons - Users find Elasticsearch **expensive to scale** , especially with high data usage and costly licensing for valuable features. - Users find that **Elasticsearch requires significant expertise** for optimal performance, complicating its setup and management. - Users find the **learning difficulty** of Elasticsearch challenging, especially with complex setups and query management for beginners. - Users feel that Elasticsearch requires **improvement in user-friendliness** and performance tuning, complicating their experience with searches. - Users find the **difficult learning curve** of Elasticsearch challenging, requiring considerable effort and time to master. #### What Are Recent G2 Reviews of Elasticsearch? **["Simple UI, Seamless Integrations, and Strong Elasticsearch Performance"](https://www.g2.com/survey_responses/elasticsearch-review-12835645)** **Rating:** 4.5/5.0 stars _— Antonia F._ [Read full review](https://www.g2.com/survey_responses/elasticsearch-review-12835645) **["Impressive Speed and Powerful Near Real-Time Search with Elasticsearch"](https://www.g2.com/survey_responses/elasticsearch-review-12579166)** **Rating:** 5.0/5.0 stars _— Ertuğrul D._ [Read full review](https://www.g2.com/survey_responses/elasticsearch-review-12579166) ### [Weaviate](https://www.g2.com/products/weaviate/reviews) Weaviate is an open-source vector database that helps developers build and scale AI applications such as semantic search, retrieval-augmented generation (RAG), recommendation, and AI agents. It stores data objects together with their vector embeddings, allowing applications to combine vector similarity with keyword and structured filters (hybrid search) to retrieve relevant results across billions of objects. Weaviate is built for developers and teams working with modern AI workloads, from individual projects to enterprise production systems. It integrates across the AI stack with pre-built modules for common embedding and large language model (LLM) providers, including OpenAI, Anthropic, Cohere, Google, AWS Bedrock, and Hugging Face, so teams can bring their own models or use Weaviate Embeddings. Key capabilities include: - Vector and hybrid search that combines semantic similarity with keyword matching and metadata filters - Built-in vectorization and pluggable embedding and LLM providers, so models can be changed without re-architecting - Native multi-tenancy with data isolation, and role-based access control (RBAC) - Query Agent, which converts natural-language questions into database queries and returns answers with source citations - Engram, a managed memory service that gives AI agents persistent, personalized memory Weaviate can be self-hosted under the open-source BSD-3-Clause license or run as a fully managed service through Weaviate Cloud on AWS, Google Cloud, and Azure, with a Bring Your Own Cloud (BYOC) option that runs Weaviate inside a customer's own cloud environment. Weaviate Cloud includes a free tier with no credit card required and no expiration, along with paid tiers for teams moving into production. For organizations with compliance requirements, Weaviate is SOC 2 Type II certified, with HIPAA compliance available for regulated workloads. **Average Rating:** 4.5/5.0 **Total Reviews:** 34 #### Who Is the Company Behind Weaviate? - **Seller:** [Weaviate](https://www.g2.com/sellers/weaviate) - **Year Founded:** 2019 - **HQ Location:** Amsterdam, NL - **Twitter:** @weaviate\_io 19,218 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7ec56b00b8ecd368de973b60f0815875f947e65f5b8609f44b655836f9925eab&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fweaviate-io&secure%5Burl_type%5D=linkedin_company_website) 73 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 68% Small, 21% Medium #### What Are Recent G2 Reviews of Weaviate? **["A Powerful Vector Database for Building AI Applications"](https://www.g2.com/survey_responses/weaviate-review-13186769)** **Rating:** 4.0/5.0 stars _— Jeni J._ [Read full review](https://www.g2.com/survey_responses/weaviate-review-13186769) **["Scalable, Easy-to-Build Vector Search with Seamless RAG Integrations"](https://www.g2.com/survey_responses/weaviate-review-13189647)** **Rating:** 4.0/5.0 stars _— Muhammed A._ [Read full review](https://www.g2.com/survey_responses/weaviate-review-13189647) ### [Algolia](https://www.g2.com/products/algolia/reviews) Algolia empowers businesses to deliver lightning-fast, AI-driven search and discovery experiences that convert. Trusted by over 18,000 companies and 500,000 developers, Algolia’s API-first platform handles 1.75 trillion searches annually across e-commerce, SaaS, marketplaces, media, and more. From helping retailers boost conversions with personalized product discovery to enabling companies to surface relevant content instantly, Algolia delivers scalable, reliable, and intuitive solutions built for performance. With seamless integration into any tech stack, user-friendly tools for business teams, and advanced AI customization, Algolia makes it easy to launch tailored digital experiences—accelerating time to value and driving measurable business results. Learn more: https://www.algolia.com/ **Average Rating:** 4.5/5.0 **Total Reviews:** 430 #### Who Is the Company Behind Algolia? - **Seller:** [Algolia SAS](https://www.g2.com/sellers/algolia-sas) - **Company Website:** www.algolia.com - **Year Founded:** 2012 - **HQ Location:** San Francisco, CA - **Twitter:** @algolia 25,496 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bb9baff8a790e29c5af7d12a0834c9ef6551dbc706735430566215b8fbf3a275&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Falgolia%2Fposts%2F%3FfeedView%3Dall&secure%5Burl_type%5D=linkedin_company_website) 871 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** CTO, Software Engineer - **Top Industries:** Computer Software, Retail - **Company Size:** 59% Small, 30% Medium #### What Do G2 Reviewers Say About Algolia? _AI-generated summary from verified user reviews_ ##### Pros - Users find **Algolia's ease of use** exceptional, with seamless setup and quick, relevant search results. - Users value Algolia's **search efficiency** , delivering fast and relevant results even within extensive datasets. - Users value the **speed and responsiveness** of Algolia, enhancing their search experience even with large datasets. - Users value the **lightning-fast search speed** of Algolia, greatly enhancing user experience with quick and relevant results. - Users find Algolia to be an **extremely efficient search tool** , enabling organizations to enhance their search experience effortlessly. ##### Cons - Users find Algolia's pricing **expensive** , with advanced features restricted to higher tiers and limited customizations in lower plans. - Users face **limited access to advanced features** and struggle with complex configurations and costly pricing tiers. - Users face a **high learning curve** with Algolia, requiring deep coding knowledge and significant developer involvement. - Users find Algolia's **limited features** challenging, requiring professional coding skills and lacking out-of-the-box solutions. - Users find the **learning difficulty** high due to complex configurations and features tied to higher pricing tiers. #### What Are Recent G2 Reviews of Algolia? **["Lightning-Fast, Highly Accurate Search with Powerful Customization"](https://www.g2.com/survey_responses/algolia-review-12922927)** **Rating:** 5.0/5.0 stars _— Rahul K._ [Read full review](https://www.g2.com/survey_responses/algolia-review-12922927) **["Reliable, Fast Search with Straightforward Setup and Clear Documentation"](https://www.g2.com/survey_responses/algolia-review-12600019)** **Rating:** 4.5/5.0 stars _— Eric T._ [Read full review](https://www.g2.com/survey_responses/algolia-review-12600019) #### What Are G2 Users Discussing About Algolia? - [What is Algolia used for?](https://www.g2.com/discussions/algolia-what-is-algolia-used-for) - [What is Search.io used for?](https://www.g2.com/discussions/what-is-search-io-used-for) ### [Vector Library](https://www.g2.com/products/vector-library/reviews) AI-powered knowledge base and document search platform. Transform documents into an intelligent, searchable workspace with Google Drive integration and natural language queries. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 #### Who Is the Company Behind Vector Library? - **Seller:** [Vercel](https://www.g2.com/sellers/vercel) - **Year Founded:** 2015 - **HQ Location:** San Francisco, California, United States - **Twitter:** @vercel 432,041 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5ebf928cb3c3e3a676030fb0404326a07e9cea520049f861ae07fdb07888435b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fvercel%2Fabout&secure%5Burl_type%5D=linkedin_company_website) 913 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 100% Small #### What Are Recent G2 Reviews of Vector Library? **["Vector Library Turns Document Chaos Into Instant, Context-Aware Answers"](https://www.g2.com/survey_responses/vector-library-review-12560929)** **Rating:** 5.0/5.0 stars _— Farid I._ [Read full review](https://www.g2.com/survey_responses/vector-library-review-12560929) **["High-Quality Vectors and Fast, Easy Search That Saves Time"](https://www.g2.com/survey_responses/vector-library-review-13173973)** **Rating:** 4.0/5.0 stars _— Verified User in Information Technology and Services_ [Read full review](https://www.g2.com/survey_responses/vector-library-review-13173973) ### [Vespa.ai](https://www.g2.com/products/vespa-ai/reviews) Developers building customer-facing, large-scale search, Retrieval-Augmented Generation (RAG), and recommendation systems face a core challenge: retrieving and operationalizing data in real time. Data is fragmented across formats, including PDFs, free text, and semi-structured sources. This makes it difficult to unify, index, and serve data efficiently to applications and end users. Without the right infrastructure, applications become slow, brittle, and costly to scale. Vespa addresses this by unifying structured, unstructured, vector, and tensor data in a single system, enabling efficient, real-time retrieval and ranking at scale. The Vespa AI search platform is built for real-time retrieval, ranking, and inference on AWS, powering customer-facing applications including search, RAG, recommendations, and personalization. It unifies structured, unstructured, vector, and tensor data to deliver fast, accurate, and highly relevant results at millisecond latency. Vespa is purpose-built for customer-facing experiences where latency, relevance, and scale directly impact engagement, conversion, and revenue. By combining full-text search, vector search, and machine-learned ranking within a single query pipeline, Vespa delivers consistent, high-quality results across every user interaction. Its tensor-based ranking architecture enables applications to evaluate multiple signals simultaneously, including semantic meaning, behavioral data, and real-time context, enabling results to continuously adapt to user intent and business priorities. Ranking and inference run directly within the engine, eliminating external pipelines and enabling real-time updates to content, models, and business signals. Running on AWS, Vespa delivers elastic scalability, high availability, and fully managed infrastructure through Vespa Cloud. Automated provisioning, scaling, monitoring, and upgrades reduce operational overhead while supporting high-throughput, low-latency workloads. Vespa is trusted in production by organizations including Perplexity, Spotify, and Yahoo to power large-scale, real-time search, recommendation, and AI applications. Developers use Vespa to build responsive, intelligent applications that enhance the customer experience, improve conversion rates, and drive measurable business outcomes. **Average Rating:** 4.6/5.0 **Total Reviews:** 8 #### Who Is the Company Behind Vespa.ai? - **Seller:** [Vespa.ai](https://www.g2.com/sellers/vespa-ai) - **Company Website:** vespa.ai - **Year Founded:** 2023 - **HQ Location:** Trondheim, NO - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=aea3cb3ffb650aa774cfc2690f272f714dfaeb4e79adfd4b928dc229ad6e56cd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fvespa-ai%2F&secure%5Burl_type%5D=linkedin_company_website) 51 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 63% Small, 25% Large #### What Are Recent G2 Reviews of Vespa.ai? **["Best Gen AI software to build your own infrastructure"](https://www.g2.com/survey_responses/vespa-ai-review-9938329)** **Rating:** 4.5/5.0 stars _— Vignesh H._ [Read full review](https://www.g2.com/survey_responses/vespa-ai-review-9938329) **["Vepsa decreased costs, latency, and management for billions of searches per month"](https://www.g2.com/survey_responses/vespa-ai-review-9781061)** **Rating:** 5.0/5.0 stars _— Verified User in Marketing and Advertising_ [Read full review](https://www.g2.com/survey_responses/vespa-ai-review-9781061) ### [RAG Engine](https://www.g2.com/products/rag-engine/reviews) RAG Engine is an AI infrastructure platform designed to transform enterprise data into intelligent, searchable applications. It offers a comprehensive suite of tools for production-grade retrieval-augmented generation (RAG), integrating hybrid search capabilities, neural reranking, and knowledge graph entity extraction into a single managed solution. With support for over 50 data sources, including Google Drive, Notion, Slack, Confluence, Salesforce, and various databases, RAG Engine enables seamless deployment of AI chatbots across platforms like websites, Slack, and Microsoft Teams. Trusted by enterprises, it ensures compliance with SOC 2 and GDPR standards and supports over 100 languages. Key Features and Functionality: - Hybrid Search: Combines BM25 and dense vector search methodologies to deliver precise and relevant search results. - Neural Reranking: Utilizes cross-encoders to enhance the relevance of search outcomes by reordering results based on contextual understanding. - Knowledge Graph Entity Extraction: Identifies and structures entities within data to build comprehensive knowledge graphs, facilitating advanced data relationships and insights. - Extensive Data Source Integration: Supports integration with over 50 data sources, including popular platforms like Google Drive, Notion, Slack, Confluence, Salesforce, and various databases, ensuring a unified data ecosystem. - Multi-Platform Deployment: Enables rapid deployment of AI chatbots on websites, Slack, and Microsoft Teams, enhancing user engagement and support capabilities. - Enterprise-Grade Compliance: Adheres to SOC 2 and GDPR standards, providing robust security and privacy measures for enterprise applications. - Multilingual Support: Offers support for over 100 languages, catering to a diverse global user base. Primary Value and User Solutions: RAG Engine addresses the challenge of transforming vast and diverse enterprise data into actionable intelligence. By integrating advanced search and retrieval technologies with seamless data source connectivity, it empowers organizations to build intelligent applications that enhance decision-making, improve customer interactions, and streamline operations. Its compliance with industry standards ensures data security and privacy, making it a reliable choice for enterprises aiming to leverage AI without compromising on regulatory requirements. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 #### Who Is the Company Behind RAG Engine? - **Seller:** [RAG Engine](https://www.g2.com/sellers/rag-engine) - **Year Founded:** 2025 - **HQ Location:** Amsterdam, NL - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=355055ce754760bbf9e02c4119595cafce3a22df217953b64f1988d6abba155a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frag-engine&secure%5Burl_type%5D=linkedin_company_website) 2 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 100% Medium #### What Are Recent G2 Reviews of RAG Engine? **["Powerful RAG Solution for Building Accurate AI Applications"](https://www.g2.com/survey_responses/rag-engine-review-13133540)** **Rating:** 5.0/5.0 stars _— Ali Khusroo B._ [Read full review](https://www.g2.com/survey_responses/rag-engine-review-13133540) ### [Redis Cloud](https://www.g2.com/products/redis-cloud/reviews) Redis Cloud is our fully-managed Redis Enterprise service, delivering unmatched speed, simplicity, and scalability. It's perfect for cloud-native applications requiring real-time data processing, without the hassle of managing infrastructure. Redis Cloud surpasses Redis-compatible cloud services built on open source such as Amazon ElastiCache and Google Cloud Memorystore by offering enterprise-grade features like active-active geo-distribution, advanced query and search capabilities, seamless data synchronization, and multi-cloud support. **Average Rating:** 4.6/5.0 **Total Reviews:** 42 #### Who Is the Company Behind Redis Cloud? - **Seller:** [Redis](https://www.g2.com/sellers/redis) - **Year Founded:** 2011 - **HQ Location:** San Francisco, CA - **Twitter:** @Redisinc 44,002 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=154a4d860a2f84808db6c48d0167799f4487352cac0b7154839c88ceb9650084&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2014725%2F&secure%5Burl_type%5D=linkedin_company_website) 1,542 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 50% Small, 41% Medium #### What Are Recent G2 Reviews of Redis Cloud? **["Redis key deploying"](https://www.g2.com/survey_responses/redis-cloud-review-11239966)** **Rating:** 5.0/5.0 stars _— mangu d._ [Read full review](https://www.g2.com/survey_responses/redis-cloud-review-11239966) **["Redis Cloud Delivers Speed and Reliability with Hassle-Free Managed Scaling"](https://www.g2.com/survey_responses/redis-cloud-review-11743730)** **Rating:** 4.0/5.0 stars _— Verified User in Computer & Network Security_ [Read full review](https://www.g2.com/survey_responses/redis-cloud-review-11743730) #### What Are G2 Users Discussing About Redis Cloud? - [What is Redis architecture?](https://www.g2.com/discussions/what-is-redis-architecture) - 1 comment - [Is Redis Enterprise Open Source?](https://www.g2.com/discussions/is-redis-enterprise-open-source) - [Is Redis enterprise software free?](https://www.g2.com/discussions/is-redis-enterprise-software-free) - [What is Enterprise Redis?](https://www.g2.com/discussions/what-is-enterprise-redis) ### [SearchCans](https://www.g2.com/products/searchcans/reviews) SearchCans is a high-performance data infrastructure engineered specifically for autonomous AI Agents and advanced Retrieval-Augmented Generation (RAG) workflows. It provides a unified, un-throttled API that seamlessly combines real-time Google/Bing SERP scraping (including AI Overviews) and a high-fidelity, JS-rendered Web-to-Text Markdown Reader. Built to eliminate the restrictive hourly rate limits common in legacy marketing-focused SERP APIs, SearchCans introduces a proprietary Parallel Search Lanes model designed for heavy enterprise concurrency and instant workflow bursting. Operating on a 100% transparent, pay-as-you-go credit pool starting at $0.56 per 1,000 successful requests, SearchCans offers maximum scalability and cost-efficiency with zero monthly subscription bloat. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 #### Who Is the Company Behind SearchCans? - **Seller:** [SearchCans](https://www.g2.com/sellers/searchcans) - **HQ Location:** N/A - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e0c0ce296d5d40602409dc7aad67737ef951661659472cdea0bedf01470433c3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsearchcans&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 100% Small #### What Are Recent G2 Reviews of SearchCans? **["Incredibly Fast and Reliable Google API"](https://www.g2.com/survey_responses/searchcans-review-12902075)** **Rating:** 5.0/5.0 stars _— Verified User in Higher Education_ [Read full review](https://www.g2.com/survey_responses/searchcans-review-12902075) ### [AIBox](https://www.g2.com/products/aibox/reviews) AIBox is a self-hosted, enterprise-grade AI document intelligence platform. It provides a secure, ABAC-governed repository for storing, organising, and retrieving documents of all types, layered with conversational AI that allows users to interrogate their document library using natural language. The platform is purpose-built for multi-audience enterprise environments, serving internal teams (HR, Legal, Finance and all organisational employees), external partners, and clients - each operating under a fine-grained, attribute-based access control model. AIBox is not a file system. It is a knowledge layer: documents are first-class assets with rich metadata, lineage, version history, and AI-indexed content. #### Who Is the Company Behind AIBox? - **Seller:** [Agively Technologies](https://www.g2.com/sellers/agively-technologies) - **Year Founded:** 2022 - **HQ Location:** Gurugram, IN - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a367c3d80f08ed7280672951e206768721adf87606d55411130bf6bef42dcc4b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fagively-technologies&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® ### [AI CRE Tools](https://www.g2.com/products/ai-cre-tools/reviews) AI CRE Tools is a comprehensive directory designed to assist commercial real estate (CRE) professionals in discovering and evaluating over 250 AI-powered tools tailored for various aspects of the industry. The platform categorizes these tools based on specific CRE workflows, enabling users to efficiently identify solutions that align with their operational needs. Key Features and Functionality: - Extensive Directory: Offers a curated selection of 253 AI tools, regularly updated to reflect the latest advancements in the CRE sector. - Categorization by Workflow: Organizes tools into categories such as Property Analysis & Valuation, Property Management & Operations, Transactions & Brokerage, Marketing & Leasing Enablement, and more, facilitating targeted searches. - Role-Based Navigation: Provides directories tailored for specific roles within the CRE industry, including investors, developers, brokers, asset managers, and property managers, ensuring relevance and applicability. - Comparative Analysis: Features side-by-side comparisons and a comprehensive CRE glossary to aid in informed decision-making when selecting AI tools. Primary Value and User Solutions: AI CRE Tools addresses the challenge of navigating the rapidly evolving landscape of AI applications in commercial real estate. By offering a centralized, organized, and user-friendly platform, it empowers CRE professionals to: - Stay Informed: Keep abreast of the latest AI tools and technologies pertinent to their field. - Enhance Efficiency: Quickly identify and implement AI solutions that can streamline operations, improve decision-making, and drive business growth. - Make Informed Choices: Utilize detailed comparisons and resources to select tools that best fit their specific requirements and objectives. In essence, AI CRE Tools serves as a vital resource for commercial real estate professionals seeking to leverage artificial intelligence to optimize their workflows and maintain a competitive edge in the market. #### Who Is the Company Behind AI CRE Tools? - **Seller:** [AI CRE Tools](https://www.g2.com/sellers/ai-cre-tools) - **HQ Location:** N/A - **LinkedIn® Page:** [linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4a1e9e3a5af05b77527b78ab1447c97b6c752ba0614fb5d6482ea48704e92aa1&secure%5Burl%5D=https%3A%2F%2Flinkedin.com%2Fcompany%2Faicretools&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® ### [AIScoopr](https://www.g2.com/products/aiscoopr/reviews) AIScoopr is a comprehensive news aggregation platform designed to keep users informed about the latest developments in artificial intelligence. By consolidating and deduplicating content from various reputable sources, AIScoopr delivers a curated selection of AI-related news, including updates on models, product launches, funding, research papers, tools, and policy changes. This streamlined approach ensures that users receive only the most pertinent information, enabling them to stay current with minimal time investment. Key Features and Functionality: - Aggregated News Feed: AIScoopr compiles AI news from multiple sources, presenting a unified feed that highlights significant stories and developments. - Deduplication: The platform intelligently filters out redundant articles, providing a concise and clutter-free news experience. - Categorization: News items are organized into categories such as Models, Products, Funding, Papers, Tools, and Policy, allowing users to focus on specific areas of interest. - Real-Time Updates: AIScoopr offers live aggregation, ensuring that the latest news is available as it happens. - User-Friendly Navigation: With features like "Today's stories" and "My Bookmarks," users can easily access current news and save articles for future reference. Primary Value and User Solutions: AIScoopr addresses the challenge of information overload in the rapidly evolving AI sector by providing a centralized, efficient, and user-friendly platform for news consumption. By delivering a curated and deduplicated news feed, it saves users time and effort, ensuring they stay informed about critical AI developments without sifting through numerous sources. This makes AIScoopr an invaluable tool for professionals, researchers, and enthusiasts seeking to keep abreast of the AI landscape. #### Who Is the Company Behind AIScoopr? - **Seller:** [AIScoopr](https://www.g2.com/sellers/aiscoopr) - **HQ Location:** N/A - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® ### [AislePal](https://www.g2.com/products/aislepal/reviews) AislePal is a web-based platform designed to enhance the in-store shopping experience by providing real-time product discovery, navigation, and checkout capabilities. By integrating seamlessly with existing retail systems, AislePal captures valuable customer intent data, enabling retailers to optimize store operations and increase sales. Key Features and Functionality: - Product Discovery: Shoppers can search for products using natural language queries, view real-time inventory, and access personalized promotions. - In-Store Navigation: Provides aisle-level guidance, helping customers locate products quickly and efficiently. - Checkout Options: Offers optional in-aisle scan-and-pay functionality, reducing wait times and enhancing convenience. - Data Analytics: Captures and analyzes customer interactions, such as searches and navigation patterns, to provide actionable insights for retailers. Primary Value and Solutions Provided: AislePal addresses the gap between online and in-store shopping experiences by bringing the convenience and intelligence of e-commerce into physical retail spaces. For shoppers, it reduces friction by simplifying product searches and streamlining the purchasing process. For retailers, it offers a comprehensive view of customer intent, allowing for data-driven decisions that improve inventory management, store layout, promotions, and overall customer satisfaction. By implementing AislePal, retailers can expect increased basket sizes, improved promotion effectiveness, and enhanced operational efficiency. #### Who Is the Company Behind AislePal? - **Seller:** [AislePal](https://www.g2.com/sellers/aislepal) - **Year Founded:** 2025 - **HQ Location:** Bay Area, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4e12b881f5d8616a4a1c419629df13a29832af1258325d75b4c0800dbc74490c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Faislepal&secure%5Burl_type%5D=linkedin_company_website) 2 employees on LinkedIn® ### [Alluxio](https://www.g2.com/products/alluxio/reviews) Open source data orchestration for analytics and machine learning in any cloud #### Who Is the Company Behind Alluxio? - **Seller:** [Alluxio](https://www.g2.com/sellers/alluxio) - **Year Founded:** 2015 - **HQ Location:** San Mateo, US - **Twitter:** @Alluxio 1,297 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=77dccd03d33630e687364640a672824f1483b121ae3cd5d493a21847fd2ce610&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F7791276&secure%5Burl_type%5D=linkedin_company_website) 100 employees on LinkedIn® - ‹ Prev‹ Prev - 1 - [2](/categories/ai-search-retrieval-infrastructure-platforms?open_modal_url=%2Fproducts%2Fvecstore%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fai-search-retrieval-infrastructure-platforms%26source%3Dcategory&order=popular&page=2#product-list) - [3](/categories/ai-search-retrieval-infrastructure-platforms?open_modal_url=%2Fproducts%2Fvecstore%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fai-search-retrieval-infrastructure-platforms%26source%3Dcategory&order=popular&page=3#product-list) - [4](/categories/ai-search-retrieval-infrastructure-platforms?open_modal_url=%2Fproducts%2Fvecstore%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fai-search-retrieval-infrastructure-platforms%26source%3Dcategory&order=popular&page=4#product-list) - [5](/categories/ai-search-retrieval-infrastructure-platforms?open_modal_url=%2Fproducts%2Fvecstore%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fai-search-retrieval-infrastructure-platforms%26source%3Dcategory&order=popular&page=5#product-list) - [Next ›Next ›](/categories/ai-search-retrieval-infrastructure-platforms?open_modal_url=%2Fproducts%2Fvecstore%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fai-search-retrieval-infrastructure-platforms%26source%3Dcategory&order=popular&page=2#product-list) Spotlight Categories [HCM Software](https://www.g2.com/categories/hcm-software) [Affiliate Marketing Software](https://www.g2.com/categories/affiliate-marketing) [A/B Testing Tools](https://www.g2.com/categories/a-b-testing-tools) [Help Desk Software](https://www.g2.com/categories/help-desk) [Marketing Automation Software](https://www.g2.com/categories/marketing-automation) Similar Categories - [AI App Builder](/categories/ai-app-builder) - [AI AppSec Assistants](/categories/ai-appsec-assistants) - [AI Chatbots](/categories/ai-chatbots) - [AI Code Generation](/categories/ai-code-generation) - [AI Coding Assistants](/categories/ai-coding-assistants) - [AI Content Creation Platforms](/categories/ai-content-creation-platforms) - [AI Image Generators](/categories/ai-image-generators) - [AI SDK](/categories/ai-sdk) - [AI Software Testing Tools](/categories/ai-software-testing-tools) - [Generative AI Infrastructure](/categories/generative-ai-infrastructure) - [Large Language Model Operationalization (LLMOps)](/categories/large-language-model-operationalization-llmops) - [Large Language Models (LLMs)](/categories/large-language-models-llms) - [Small Language Models (SLMs)](/categories/small-language-models-slms) - [Synthetic Media](/categories/synthetic-media) [Browse AI Search & Retrieval Infrastructure Platforms Themes](/categories/ai-search-retrieval-infrastructure-platforms/themes) ![Rachana Hasyagar](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Rachana Hasyagar") RH Researched and written by [Rachana Hasyagar](https://research.g2.com/insights/author/rachana-hasyagar) Updated March 4, 2026 AI search & retrieval infrastructure platforms provide the core systems businesses use to power intelligent search and retrieval across their data and applications, enabling AI systems to find and return the most relevant information. These platforms are typically used in organizations building AI-powered products, internal knowledge search tools, or customer-facing discovery experiences where fast and accurate information access is critical. AI search & retrieval infrastructure platforms support business strategies focused on scaling AI capabilities, improving AI response quality, and enabling more reliable AI applications by strengthening how information is indexed, retrieved, ranked, and delivered. The platform is primarily used by software engineers, machine learning (ML) engineers, and platform teams within product, data, and engineering functions. It addresses business problems such as searching large, unstructured datasets, reducing AI hallucinations, improving relevance and accuracy, and supporting retrieval-augmented generation (RAG) workflows. Common attributes for these platforms include vector and hybrid search, data ingestion and indexing, relevance ranking, embeddings management, and APIs or SDKs for integration. These attributes allow the platform to retrieve information based on meaning as well as keywords, keep data organized and up to date, and return the most relevant results. Embeddings management supports semantic understanding, while APIs or SDKs make it easier to integrate search capabilities into applications and AI workflows. In contrast to [answer engine optimization (AEO) tools](https://www.g2.com/categories/answer-engine-optimization-aeo) which optimize content for discoverability by AI systems, or [site search software](https://www.g2.com/categories/site-search-software), which enables users to search within a specific website or application, AI search & retrieval infrastructure platforms operate at the architectural layer to support AI-driven information retrieval across data sources. To qualify for inclusion in the AI Search & Retrieval Infrastructure category, a product must: - Support vector-based and hybrid (keyword + semantic) search - Ingest, index, and update structured and unstructured data - Store, manage, or integrate with embedding systems used for semantic retrieval - Rank search results based on relevance, including hybrid relevance scoring - Filter and refine search results using metadata - Allow configuration of ranking logic, such as field weighting, boosting, reranking, or hybrid weighting adjustments - Support API-based retrieval workflows for LLM-powered applications, including retrieval-augmented generation (RAG) - Provide APIs and SDKs for integration into applications and workflows - Support incremental or near-real-time indexing updates - Enable deployment via at least one of the following: managed cloud, self-hosted, or hybrid Show More