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Weaviate

RAG & Memory 7.6/10 Strong

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​.

Weaviate scores 7.6/10 (Strong) in RAG & Memory.

Language Go License BSD-3-Clause Stars 16.5k★ Type service Self-host Yes Repo weaviate/weaviate Homepage https://weaviate.io

Quality

Strong 7.6
Adoption 55
Activity 88
Maturity 100
Community 54
Capability 50
Show the math
Overall 7.6/10
value = 7.6/10
score = value
Adoption 6/10
value = 55.4/100
score = 1 + 9 * value / 100
Activity 9/10
value = 88.4/100
score = 1 + 9 * value / 100
Maturity 10/10
value = 100/100
score = 1 + 9 * value / 100
Community 5.9/10
value = 54.2/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100

Key metrics

16.5k★ GitHub stars
1.9k/90d Recent commits
11 devs/90d Recent contributors
10.3y Project age
active Last commit

Gotchas

No gotchas documented yet. Contribute one if you know a constraint we missed.

Labels

  • Self-hosted

    Self-hosted

    You deploy and operate it yourself; there is no hosted option here.

  • Managed option

    Managed option

    Available as a hosted/managed service in addition to self-hosting.

vector-db hybrid-search rag retrieval