Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.

🧬 Represent, send, and store multimodal data · Neural Search · Vector Search · Document Store

Data integration platform for LLMs. Connect to SaaS tools with turnkey auth and sync documents from N data sources with only one integration

Java version of LangChain

Weaviate vector database – examples

The universal GUI frontend for data management of vector databases for sane people. Manage Pinecone, Chroma, and more vector data with ease.

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

Awesome Weaviate

Full Spectrum AI

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

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

Using Langchain's ideas to build SpringBoot AI applications | 用langchain的思想，构建SpringBoot AI应用

Weaviate connector for Apache Spark

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

Async bulk data ingestion and querying in various document, graph and vector databases via their Python clients

Text/Image search for similar products

Generate videos on any topic automatically, harnessing OpenAI for script generation, ElevenLabs for TTS, and Giphy and Unsplash for multimedia