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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Updated
Oct 7, 2024 - Go
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.
Java version of LangChain
Represent, send, store and search multimodal data
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Weaviate vector database – examples
Knowledge work automation with AI agents
A python native client for easy interaction with a Weaviate instance.
Awesome Weaviate
Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications
Website for the Weaviate vector database
Official Weaviate TypeScript Client
Ruby wrapper for the Weaviate vector search database API
🎩 Magic in Pocket / 🪄 口袋里的“魔法”.
Designed for offline use, this RAG application template is based on Andrej Baranovskij's tutorials. It offers a starting point for building your own local RAG pipeline, independent of online APIs and cloud-based LLM services like OpenAI.
Async bulk data ingestion and querying in various document, graph and vector databases via their Python clients
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