weaviate — tool profile and history
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.
- Language
- Go
- Created
- Last activity
- Topics
- approximate-nearest-neighbor-search
- generative-search
- grpc
- hnsw
- hybrid-search
- image-search
- information-retrieval
- mlops
- nearest-neighbor-search
- neural-search
- recommender-system
- search-engine
- semantic-search
- semantic-search-engine
- similarity-search
- vector-database
- vector-search
- vector-search-engine
- vectors
- weaviate
Current measurement
16 729GitHub stars+1 (+0.006 %)
measured growthMomentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.
Reading history
| Date | Value | Metric |
|---|---|---|
| 16 729 | GitHub stars | |
| 16 728 | GitHub stars |
Classifications
- Domains
- No declared domain
- Type
- Other
- Use cases
Neighbouring tools
These entries declare the same topics. No similarity is inferred: only the shared topics are stated.