weaviate/recipes
A collection of Jupyter notebooks demonstrating Weaviate vector database features, integrations with LLM frameworks, and RAG pipeline implementations.
Velocity · 7d
+0.8
★ / day
Trend
→steady
star history
This repository provides end-to-end examples for using Weaviate, an open-source vector database, with various AI technologies. It covers vector search, hybrid search, and generative search capabilities with integrations to LLM frameworks such as LangChain, LlamaIndex, CrewAI, and DSPy. The notebooks demonstrate retrieval-augmented generation pipelines, reranking workflows, and multi-tenancy features for building AI-powered applications.