Context management
Weaviate Cloud
Managed vector database with hybrid search, hosted embeddings and a natural-language Query Agent
★ 16,945 on GitHub · last commit Nov 10, 2026
What it is
Weaviate's Query Agent turns natural language into database operations, which is context routing in its own right rather than retrieval alone, and hosted Weaviate Embeddings make it a full managed context layer rather than a bare vector store. Pricing is transparent and self-serve, a deliberate contrast with the enterprise quote-only vendors.
At a glance
- Vendor
- Weaviate
- Business model
- Open source + paid cloud
- Pricing
- Free tier (100k objects, 1 collection); Flex from $45/mo; Premium from $400/mo; storage from $0.10-0.12/GiB; hosted embeddings pay-as-you-go pricing page ↗
- License
- NOASSERTION
- Self-hosting
- Yes, can be self-hosted
- Access
- REST, GraphQL and gRPC; Python/JS clients; Weaviate Query Agent; MCP integrations
GitHub activity
This product has a public repository, so we read it nightly from the GitHub API. Stars measure developer attention, not quality or market share.
“Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.” (repository description)
- Stars
- 16,945
- Forks
- 1,434
- Open issues
- 846
- Last commit
- Nov 10, 2026
- License (GitHub)
- NOASSERTION
Links and sources
- Official siteweaviate.io/pricing
- Pricingweaviate.io/pricing
- GitHub repositorygithub.com/weaviate/weaviate
- Sourceweaviate.io
Facts verified nov 10, 2026; added nov 10, 2026. Vendor facts come from the vendor’s own pages; benchmark claims are self-reported unless we say otherwise.