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Weaviate Reviews & Product Details

Weaviate is an AI-native vector database designed to simplify the process of building and scaling search and generative AI applications for developers of all levels. Open source and built with modern AI workloads in mind, Weaviate powers use cases like semantic and hybrid search, chatbots, and AI-driven agents. Weaviate integrates seamlessly with the AI ecosystem across the stack, offering pre-built modules for popular Large Language Models (LLMs) and machine learning frameworks. Its unique multi-tenant architecture, purpose-built for both vectors and objects, enables efficient large-scale deployments while maintaining enterprise-grade performance and reliability. With flexible deployment options—including on-premises, cloud, hybrid environments, and Bring Your Own Cloud (BYOC)—Weaviate meets the needs of diverse organizations, from startups to large enterprises. These options empower teams to choose the deployment model that aligns with their operational and regulatory requirements. Weaviate also provides robust data privacy, compliance, and access control features, ensuring security and trustworthiness for production environments. Key Features and Benefits: • AI-Native Architecture: Built specifically for vector-based and generative AI workloads. • Use Cases: Supports semantic and hybrid search, chatbots, agents, and other AI-driven applications. • Hybrid Search Capabilities: Combines vector and keyword-based search for superior accuracy and relevance. • Multi-Tenant Efficiency: Scales to millions of tenants with full data isolation and flexible storage tiers for cost optimization. • Flexible Deployment: Deploy on-premises, in the cloud, as part of a hybrid environment, or using BYOC for maximum control and adaptability. • Enterprise Security: Features SOC 2 certification, regular penetration testing, and role-based access control (RBAC) for comprehensive data protection. Weaviate empowers organizations to innovate faster, streamline data operations, and launch AI applications that are secure, scalable, and state-of-the-art.

Seller

Weaviate

Languages Supported

English

Overview by

Femke Plantinga

Pricing

Pricing provided by Weaviate.

Self-Deployed

Free

Serverless Cloud

Starting at $25.00

Per Month

View More Pricing Information

Top-Rated Alternatives

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Weaviate Media

Weaviate Demo - Weaviate Enterprise Cloud – to manage all your clusters

Weaviate Enterprise Cloud is our SaaS (software-as-a-service) solution, providing managed Weaviate instances on the cloud. With this service, we aim to provide you with the most convenient Weaviate experience. We do this by following the best practices for running Weaviate on the cloud and managi...

Weaviate Demo - Weaviate Enterprise Cloud – deploy clusters in your region of choice

Create clusters in your region of choice. Your data is stored close to where you need it the most.

Weaviate Demo - Weaviate Enterprise Cloud – built-in GraphQL query module

We provide a built-in GraphQL query module. Search through your data right in the platform.

Weaviate Demo - Weaviate Language Client support

Call Weaviate from your application code with one of many Weaviate Language Clients (in Python, TypeScript, Go, and Java). Use the Weaviate client to manage your collections, operate on your data (with full CRUD support), and run queries using vector search, keyword search, and classical filters.

Weaviate Demo - Weaviate Multimedia Search

Weaviate lets you search across many modalities. Search through images, audio, video, and text with a single query. For example, you can use text to search across images/audio/video, or use an image/audio/video as an input to search across all the data.

Weaviate Demo - Retrieval Augmented Generation (RAG)

Use generative models (like OpenAI’s GPT, Google Gemini, or Cohere Generative AI) together with a query – to first retrieve relevant documents, then pass them to a Large Language Model (LLM) with a prompt to generate a new response.

Weaviate Reviews (29)

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Apoorv D.

Associate

Small-Business (50 or fewer emp.)

10/3/2025

"easy to start but needs work at scale"

4/5

What do you like best about Weaviate?

i really like how quick it is to get going with weaviate. you don’t need to spend days messing around with configs or setups. just spin it up and start pushing data in, which makes it perfect when you’re prototyping or just testing ideas. i also like that it handles both vectors and metadata together, so you can try hybrid searches without building a whole extra system. overall, it feels beginner friendly but still powerful enough to run real demos fast Review collected by and hosted on G2.com.

What do you dislike about Weaviate?

the main issue is performance when you try to scale things up. it feels fine for small to medium datasets, but once the load grows the latency can get kinda unpredictable. sometimes queries just take longer than expected even with good hardware. for experiments it’s fine, but for production where speed really matters it can be frustrating. i’d say scaling is the weak point right now. Review collected by and hosted on G2.com.

What problems is Weaviate solving and how is that benefiting you?

weaviate is solving the problem of doing semantic search without needing to glue together 3 different tools. normally you’d need a database for structured data, a search engine for keywords, and some extra service for embeddings. with weaviate it’s all in one place, so you can store objects, vectors, and metadata together. the benefit for me is speed of building stuff. i don’t waste time wiring up multiple systems just to test an idea. i can push in text, run hybrid queries, and see results fast. it also makes building rag pipelines simpler since the vector storage and filtering logic already exists, so i just connect my llm to it. basically it cuts down setup pain and lets me focus on the actual application instead of infra headaches. Review collected by and hosted on G2.com.

Satvik K.

Data Engineer

Small-Business (50 or fewer emp.)

9/29/2025

"Fast, flexible, and developer-friendly vector database."

4/5

What do you like best about Weaviate?

Weaviate makes it incredibly easy to implement semantic search and generative AI applications. The integration with Python and REST APIs is smooth, and the support for hybrid search (vector + keyword) is powerful for real-world use cases. Its modular design and integrations with tools like OpenAI, Cohere, and Hugging Face let you plug in embeddings quickly. The documentation is clear, and the community is active and responsive, which shortens the learning curve. Review collected by and hosted on G2.com.

What do you dislike about Weaviate?

The cloud pricing can scale up quickly if you’re handling large datasets, and the learning curve for more advanced features (like sharding or schema design) can be a bit steep for beginners. Some SDKs lag slightly behind the core feature set, so you occasionally need to rely on REST calls. More built-in visualization or monitoring features would make it easier to track cluster performance without third-party tools. Review collected by and hosted on G2.com.

Carlos F.

ハッカー

Small-Business (50 or fewer emp.)

6/10/2025

"Outstanding RAG and support for customer & community"

5/5

What do you like best about Weaviate?

Weaviate stores the data objects as vectors in multidimensional space, so you can search and find relationships between the data based on semantic meaning, resulting in great and stable accuracy.

Their customer support is impeccable, and there's a great community environment too in Slack. Review collected by and hosted on G2.com.

What do you dislike about Weaviate?

Could focus more on AI docs for direct API access. Review collected by and hosted on G2.com.

What problems is Weaviate solving and how is that benefiting you?

Weaviate is creating embeddings, storing them in a vector DB and retrieving them when performing a semantic search for generative augmentation, together as self-contained RAG in Weaviate.

I've also used their transformation agent and I was impressed about the quality of the answers, even though I made some mistakes in the setup at the time.

I subscribe to their cloud instance so that I don't have to deal with user data on my servers, and a great deal of RAG infra moving parts in general. It has reduced cost at scale, and it's easy to provision and configure. Review collected by and hosted on G2.com.

Tina Jaykumar C.

Software Development Engineer

Small-Business (50 or fewer emp.)

5/27/2025

"Great tool when it works — but sometimes I wish the setup was smoother"

4/5

What do you like best about Weaviate?

The most helpful about Weaviate is that you can store, vectorize, and search data all within one system — no need to juggle multiple tools and no need to precompute embeddings it has built in vectorization. Also a good community as in it is actively maintained. Review collected by and hosted on G2.com.

What do you dislike about Weaviate?

If you're new, it can feel like you're piecing things together from scattered sources.

Also, it is heavy to run locally. I used it in my windows laptop and my machine used to groan a bit. Review collected by and hosted on G2.com.

What problems is Weaviate solving and how is that benefiting you?

In my solo hackathon project on women’s safety, Weaviate made it super easy to build a fast, intelligent search over incident reports without worrying about vector storage or custom search logic. It saved me hours I would’ve spent wiring up embeddings and let me focus on actually building something useful. Review collected by and hosted on G2.com.

Verified User in Computer Software

Small-Business (50 or fewer emp.)

5/28/2025

"Clean Interface and Straightforward Setup Make Vector Database Implementation Simple"

4.5/5

What do you like best about Weaviate?

The interface is impressively clean and intuitive, making it easy to navigate even as a newcomer to vector databases. The setup and testing process is refreshingly straightforward - you can get up and running quickly without wrestling through complex configuration steps. What really stands out is their commitment to continuous improvement; they're consistently rolling out new products and features that genuinely make the developer experience easier.

Their free office hours, workshops, and events are incredibly valuable for newcomers - having direct access to experts who can answer questions and provide guidance makes the learning curve much more manageable. The integration process feels well-thought-out, and the documentation guides you through implementation without unnecessary complexity. Review collected by and hosted on G2.com.

What do you dislike about Weaviate?

As someone just getting started, it's hard to identify major pain points yet. The learning curve for vector database concepts and who to use them themselves can be steep if you're new to the space, though that's more about the technology category than Weaviate specifically. Review collected by and hosted on G2.com.

What problems is Weaviate solving and how is that benefiting you?

As someone just beginning to explore vector databases, I'm still in the early stages of understanding how Weaviate will fit into my application architecture. From what I've learned so far, Weaviate appears to solve the challenge of efficiently storing and retrieving high-dimensional data for AI applications - particularly for semantic search, recommendation systems, and RAG (Retrieval Augmented Generation) implementations.

While I haven't yet implemented a full production use case, the benefit I'm already seeing is how Weaviate makes vector database concepts more accessible to developers like me who are new to this space. Their clean interface and educational resources (office hours, workshops) are helping me understand not just how to use their product, but how vector databases can enhance applications with more intelligent search and data retrieval capabilities.

I'm exploring use cases around improving search functionality in my applications and potentially implementing AI-powered features, but I'm still in the learning phase of understanding where vector databases provide the most value compared to traditional databases. Review collected by and hosted on G2.com.

Katerina T.

CEO

Small-Business (50 or fewer emp.)

4/1/2025

"Easy to use and amazing customer support"

5/5

What do you like best about Weaviate?

Weaviate was so easy to integrate and use. The documentation is easy to follow, the Weaviate AI is super helpful for navigating common problems, and their customer support is next level! Facing a challenge is somehow a pleasant experience - you get a swift response and an expert perspective on your problem. Review collected by and hosted on G2.com.

What do you dislike about Weaviate?

It would've been great to have PHP instructions in the docs, or just simple HTTP requests. Review collected by and hosted on G2.com.

What problems is Weaviate solving and how is that benefiting you?

We're fully replacing our keyword searches to find relevant data for given criteria, with a smart semantic search. Weaviate returns the closest matches and you can further tune them using their RAG functionality by passing the results through Generative AI. It reduces hours of manual work and improves our internal processes immensely. Review collected by and hosted on G2.com.

Zahir L.

Head of Development and Architecture

Enterprise (> 1000 emp.)

2/6/2025

"A very good product with a great support team"

4.5/5

What do you like best about Weaviate?

The responsiveness of the support team and the ability to speak to real people about issues you may be having. The product has great functionality and enables quick wins in terms of integrating to our systems Review collected by and hosted on G2.com.

What do you dislike about Weaviate?

Release process is usually smooth but there have been some "undocumented" gotchas. But team helped to resolve. Review collected by and hosted on G2.com.

Keith S.

Sr Systems Administrator

Small-Business (50 or fewer emp.)

5/15/2025

"great product, even better tech support"

5/5

What do you like best about Weaviate?

The tech support is fantastic: ticket ownership, fast turn-around times, professional, personable, and proactively willing share product knowledge with the end user to better help them understand the Weaviate product. Thank you. Review collected by and hosted on G2.com.

What do you dislike about Weaviate?

Nothing. We had one issue with our serverless cloud and Weaviate support assigned four engineers to quickly resolve the issue. Review collected by and hosted on G2.com.

Ziwar M.

Associate Partner, Technology

Small-Business (50 or fewer emp.)

2/5/2025

"A great DB solution for the AI Era"

5/5

What do you like best about Weaviate?

I like the API first/multi tenancy and ease of use of Weaviate. I use it not only as a vector database, I made a decision to use it as the core database for the entire app. Review collected by and hosted on G2.com.

What do you dislike about Weaviate?

There are some features they should enable in the cloud console Review collected by and hosted on G2.com.

Verified User in Telecommunications

Small-Business (50 or fewer emp.)

10/10/2024

"The worst customer service experience when you're having any form of issue"

0/5

What do you like best about Weaviate?

the initial setup is genuinely quite easy Review collected by and hosted on G2.com.

What do you dislike about Weaviate?

We had an issue where our data corrupted and weaviate became entirely useless, retrieving different data at each request. During this time, weaviate took a day to respond each time, consistently shifting the blame onto us and not resolving the issue. There is no way you can help yourself as the actual management console is incredibly barebones. We had to move away from weaviate as the other two options were negotiating with support (which is a painful process when the blame is entirely shifted on you at all times) or using the control panel (which is incredibly barebones - there is not even a way of turning off your instance). Again, if you have an issue, do not expect to ever be able to resolve it. Review collected by and hosted on G2.com.