weaviate

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...

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

Python package and backend for the Elysia platform app.

This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!

Weaviate vector database – examples

Semantic search through a vectorized Wikipedia (SentenceBERT) with the Weaviate vector search engine

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

Frontend Repository for Elysia

Discover Healthsearch: Unlocking Health with Semantic Search ✨

MCP (Model Context Protocol) server for Weaviate

Research repository on interfacing LLMs with Weaviate APIs. Inspired by the Berkeley Gorilla LLM.

Experimental Code for StructuredRAG: JSON Response Formatting with Large Language Models

Agent Skills to empower developers building AI applications with Weaviate.

Official Weaviate TypeScript Client

A collection of Compound Retrieval Systems implemented with DSPy and Weaviate.

Website for the Weaviate vector database

Awesome Weaviate

A simple semantic search demo to list books based on user query

Helm charts to deploy Weaviate to k8s

This is the repo for the container that holds the models for the text2vec-transformers module

A python package that provides a custom streamlit connection to query data from weaviate, the AI native vector database

Weaviate Podcast MCP

Web App for generating synthetic data