Java version of LangChain

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​.

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.

Website for the Weaviate vector database

Weaviate vector database – examples

A python native client for easy interaction with a Weaviate instance.

一个99%由OpenAI ChatGPT开发的项目。A project that is 99% developed by OpenAI ChatGPT.

Official Weaviate TypeScript Client

Ruby wrapper for the Weaviate vector search database API

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.

Full Spectrum AI

This is a LlamaIndex project bootstrapped with create-llama to act as a full stack UI to accompany Retrieval-Augmented Generation (RAG) Bootstrap Application.

Knowledge work automation with AI agents

Weaviate connector for Apache Spark

Framework for benchmarking fully-managed vector databases

🎩 Magic in Pocket / 🪄 口袋里的“魔法”.

Awesome Weaviate

An AI developer that writes LangChain Expression Language (LCEL).

Telegram LLM bot backed by OpenAI, Whisper, Beam, LLaMA, Weaviate, MinIO and MongoDB