vectordb recipes
Basic Information
This repository is a curated collection of examples, tutorials, starter code, and ready applications for building generative AI projects that use vector databases and retrieval-augmented generation. It is centered on LanceDB, a free, open-source, serverless vector database that the README describes as requiring no setup and integrating with the Python data ecosystem. The repo organizes recipes into sections such as Build from Scratch, Multimodal, RAG, Vector Search, Chatbot, Evaluation, AI Agents, Recommender Systems, and Concepts. It provides interactive notebooks, scripts, and example apps in Python and Node that demonstrate patterns for ingestion, embeddings, vector search, hybrid search, reranking, and agentic workflows. The content is aimed at engineers and researchers who want runnable examples and applied guidance to prototype PoCs and productionizable GenAI components using LanceDB.
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