weaviate/weaviate
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 and scalability of a cloud-native database.
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Weaviate
weaviate • startup
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Mar 30, 2016
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README Summary
Weaviate is an open-source vector database built in Go that combines vector search capabilities with structured filtering and traditional database features. It provides a cloud-native, scalable solution for storing both objects and their vector representations, enabling AI-powered applications to perform semantic search and similarity matching. The database offers fault tolerance, GraphQL APIs, and supports various machine learning models for automatic vectorization.
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Updated 1 months ago
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Timeline
- Project created
- Mar 30, 2016
- Forked
- Mar 13, 2026
- Your last push
- 1 months ago
- Upstream last push
- 6 days ago
- Tracked since
- Mar 13, 2026
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