deepset-ai/haystack-cookbook

Demonstrates practical implementations across multiple LLM providers, vector databases (Weaviate, Pinecone, Chroma, etc.), and retrieval patterns—from RAG and semantic search to experimental features. Each notebook isolates a specific use case or technology integration, enabling developers to copy patterns directly into production Haystack applications. Contributions are streamlined through direct GitHub integration from Colab, with metadata indexing via TOML for discoverability.

525 stars. Actively maintained with 4 commits in the last 30 days.