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

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

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

Full Spectrum AI

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

Framework for benchmarking fully-managed vector databases

Official Weaviate TypeScript Client

Website for the Weaviate vector database

Ruby wrapper for the Weaviate vector search database API

Weaviate connector for Apache Spark

This repository contains an example of how to use the Weaviate vector search engine's text2vec-openai module

ChatIQ is a versatile Slack bot using GPT & Weaviate-powered long-term memory to accomplish various tasks.