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Weaviate

Vector Databases

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★★★★☆ 4.6 / 5 on G2 · 4.6 on Capterra (20+ G2 reviews)
4.6 / 5
G2 rating, 20+ reviews [source]
Open source
AI native [source]
Self host
+ cloud [source]
Hybrid
Search [source]

Quick facts

CategoryOpen source vector database
VendorWeaviate
Starts atOpen source; cloud paid
Best forOpen source AI native database
DeploymentSelf host and cloud
Free planYes (open source)
IntegrationsAI frameworks, modules
G2 rating4.6 / 5
Capterra rating4.6 / 5

What is Weaviate?

Weaviate is a popular open source, AI native vector database with hybrid search and modules, available self hosted or as a cloud, suited to teams wanting an open, feature rich vector database for AI apps. It stores and searches vector embeddings with fast similarity search, and adds AI native features: hybrid search (combining vector and keyword), modules for embedding and generative tasks, filtering, and GraphQL and REST APIs, available as open source (self hostable) or a managed cloud. Popular for building AI and RAG applications with an open, feature rich approach, Weaviate is a leading open source vector database. For an open source AI native database, Weaviate is a leading choice.

Weaviate's distinction is being open source and AI native with rich features like hybrid search and modules. It combines open source flexibility (self host or cloud) with AI native capabilities, hybrid search, built in modules for embeddings and generative tasks, and a developer friendly API, which managed only or simpler databases do not match for open, feature rich AI native vector search. That open source, AI native, feature rich nature sets it apart.

Weaviate at a glanceWeaviate is a popular open source, AI native vector database [Weaviate]. It holds about a 4.6 out of 5 rating on G2 and 4.6 on Capterra, a leading open source vector database.

Who Weaviate is best for

Weaviate is best for teams and developers building AI and RAG applications that want an open source, AI native, feature rich vector database (with hybrid search and modules), self hosted for control or as a managed cloud. It suits an open source AI native database. It is a weaker fit for those wanting a fully managed service without any open source involvement, where Pinecone fits, the lightest weight starter store, where Chroma fits, or vectors in their existing database, where pgvector fits.

Key features

The core strengths are open source (self host or cloud), fast vector search, hybrid search (vector plus keyword), AI native modules (embeddings, generative), filtering, and developer friendly APIs (GraphQL, REST). Weaviate offers open, AI native, feature rich vector search. Its open source, AI native, feature rich nature is its defining advantage.

Weaviate pricing

Weaviate is open source and free to self host (you pay for your infrastructure), with a managed cloud (Weaviate Cloud) priced by usage (and serverless options), plus enterprise, so you can self host free or use the managed cloud. So pricing is free self hosted or usage based cloud. Confirm details on the Weaviate pricing page.

Integrations and ecosystem

Weaviate integrates with AI frameworks (LangChain, LlamaIndex), embedding and generative model providers (via modules), and the AI stack, with an open source community. Its AI framework and module integrations, which embed AI capabilities and fit it into pipelines, support its AI native positioning.

Weaviate and AI native features

Being open source and AI native with rich features is the signature strength: Weaviate combines open source flexibility with AI native capabilities, hybrid search, built in modules and a developer friendly API, which managed only or simpler databases do not match for open, feature rich AI native vector search. For an open source AI native database, this is the main reason to choose Weaviate.

Ease of use and support

Weaviate is well rated for being open source, AI native, feature rich (hybrid search, modules) and developer friendly, popular for AI apps, with community and cloud support, though reviewers note self hosting needs operations, and there is a learning curve, as with vector databases generally. Its reviews praise AI native features, with operations the main consideration.

Is Weaviate worth it?

For teams building AI and RAG apps wanting an open source, AI native, feature rich vector database with hybrid search and modules, Weaviate is an excellent choice. The main caution is self hosting operations, so a fully managed service suits Pinecone, the lightest starter store Chroma, and vectors in your existing database pgvector, but for an open source AI native database Weaviate leads.

Pricing

Open source

$0
self host
  • Full vector DB
  • AI native features
  • Self hosted

Weaviate Cloud

Usage
by usage
  • Managed cloud
  • Serverless options
  • Teams

Enterprise

Quote
by scale
  • Scale and support
  • Security
  • Enterprises

Pros and cons

Pros

  • Open source and self hostable
  • AI native features
  • Hybrid search (vector + keyword)
  • Modules for embeddings/generative
  • Developer friendly APIs

Cons

  • Self hosting needs operations
  • Learning curve
  • Cloud usage costs
  • Operations at scale

Weaviate alternatives

These vector databases tools come up most often against Weaviate.

Pinecone

Managed vector database for AI applications

Milvus

Open-source vector database for scale

Qdrant

Open-source vector search engine and database

Weaviate FAQ

What is Weaviate used for?
Weaviate is used as an open source, AI native vector database: storing and searching vector embeddings with fast similarity and hybrid search, plus modules for embeddings and generative tasks, to power RAG, semantic search and AI applications, self hosted for control or as a managed cloud.
Is Weaviate open source?
Yes. Weaviate is open source and free to self host, with a managed cloud (Weaviate Cloud) for those who prefer not to run it themselves, giving teams the choice of open source control and self hosting or managed convenience.
How much does Weaviate cost?
Weaviate is open source and free to self host (you pay for infrastructure), with a managed cloud priced by usage (and serverless options) plus enterprise, so you can self host free or use the cloud. See the Weaviate pricing page.
Weaviate vs Pinecone, which is better?
Weaviate is open source and AI native (self host free or cloud, hybrid search, modules), while Pinecone is a fully managed, serverless service. Weaviate suits those wanting open source control and features; Pinecone suits those wanting managed ease without operations.
What is hybrid search in Weaviate?
Hybrid search in Weaviate combines vector (semantic) search with keyword (BM25) search, so results draw on both meaning and exact term matching, which often improves relevance over pure vector search alone, a valued feature for building accurate AI and search applications.
Does Weaviate integrate with LangChain?
Yes. Weaviate integrates with AI frameworks like LangChain and LlamaIndex, as well as embedding and generative model providers via its modules, making it straightforward to use in RAG and AI pipelines, which is part of its AI native appeal.

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