Open Source · RAG
Weaviate
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 an
Our verdict
We have not reviewed Weaviate yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Weaviate
Weaviate is an open-source vector database written in Go that stores objects alongside their vector embeddings. It combines vector similarity search with structured filtering and SQL-like queries, built for cloud-native deployment with fault tolerance and horizontal scaling.
Best for
Teams building production search systems who need open-source control and can manage infrastructure.
Use cases
- Semantic search over document collections with metadata filtering
- Hybrid retrieval combining vector similarity and keyword matching
- Building RAG pipelines with persistent vector storage
Notes
16,258 stars on GitHub. Last updated 2026-06-01. Licensed BSD-3-Clause.
Pros
- Open-source with active community (16k+ stars)
- Native support for both vector and structured queries without separate systems
- Cloud-native architecture with built-in replication and failover
Cons
- Requires operational overhead to deploy and maintain versus managed services
- Learning curve for query syntax and configuration compared to simpler vector stores
- Performance tuning needed for large-scale deployments
Key facts
What we have checked
- Latest version
- 1.37.18 (released 25 Oct 2026)
- GitHub stars
- 16,848
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How Weaviate is growing
16,258 to 16,848
Alternatives
Alternatives to Weaviate
| Record | Type | How we know | Checked |
|---|---|---|---|
| AquilaDBAlternative to this | Open source | Named in the listing | Not dated |
| AwadbAlternative to this | Open source | Named in the listing | Not dated |
| ChromaAlternative to this | Open source | Named in the listing | Not dated |
| LancedbAlternative to this | Open source | Named in the listing | Not dated |
| MarqoAlternative to this | Open source | Named in the listing | Not dated |
| MilvusAlternative to this | Open source | Named in the listing | Not dated |
| pgvectorAlternative to this | Open source | Named in the listing | Not dated |
| PineconeAlternative to this | Open source | Named in the listing | Not dated |
| QdrantAlternative to this | Open source | Named in the listing | Not dated |
| RivestackAlternative to this | Open source | Named in the listing | Not dated |
| StatewaveAlternative to this | Open source | Named in the listing | Not dated |
| ValdAlternative to this | Open source | Named in the listing | Not dated |
| VearchAlternative to this | Open source | Named in the listing | Not dated |
| VectorDBAlternative to this | Open source | Named in the listing | Not dated |
Compare
Compare Weaviate side by side
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 1.37.18
Released 1.36.24
Released 1.40.2
Released 1.38.22
Released 1.39.13
Released 1.40.1
Released 1.39.12
Released 1.38.21
Released 1.39.11
Released 1.40.0
Released 1.39.10
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Chroma
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Search infrastructure for AI
Milvus
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Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
pgvector
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Open-source vector similarity search for Postgres
Qdrant
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Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
AquilaDB
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Awadb
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Chroma
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Lancedb
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Marqo
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pgvector
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Pinecone
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Qdrant
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Vald
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Pairs with
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Collections of vector search related libraries, service and research papers
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Detect stale, drifted, and ghost documents in RAG vector indexes
RagTune
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EXPLAIN ANALYZE for RAG retrieval — inspect, debug, benchmark, and tune your retrieval layer
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Distributed semantic cache and stateful routing system that cuts LLM API costs by returning cached responses for semantically similar queries. Uses ANN vector search (cosine ≥ 0.8)
semantic-coverage
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Automated detection of knowledge gaps and blind spots in RAG vector stores.
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