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
May 8, 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
Data integration platform for LLMs. Connect to SaaS tools with turnkey auth and sync documents from N data sources with only one integration
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.
Using Langchain's ideas to build SpringBoot AI applications | 用langchain的思想,构建SpringBoot AI应用
Awesome Weaviate
Official Weaviate TypeScript Client
Website for the Weaviate vector database
Ruby wrapper for the Weaviate vector search database API
This repository contains an example of how to use the Weaviate vector search engine's text2vec-openai module
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