{"repo":"lancedb/vectordb-recipes","free":true,"listed":false,"github":"https://github.com/lancedb/vectordb-recipes","clone":"git clone https://github.com/lancedb/vectordb-recipes.git","description":"Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs","language":"Jupyter Notebook","stars":973,"topics":["ai","deep-learning","llms","machine-learning","multimodal","agents","embeddings","fine-tuning","gpt","langchain"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"VectorDB-recipes Dive into building GenAI applications! This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. - These are built using LanceDB, a free, open-source, serverless vectorDB that requires no setup . - It integrates into Python data ecosystem so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. - LanceDB has native Typescript SDK using which you can run vector search in serverless functions! Join our community for support - Discord • Twitter --- This repository is divided into 2 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools The following examples are organized into different tables to make similar types of examples easily accessible. Sections - Build from Scratch - Step-by-step guides to create AI applications from scratch. - Multimodal - Build apps that process and search across both text and images. - RAG - Combine document retrieval with LLM-powered responses. - Vector Search - Learn to efficiently find relevant documents using vector-based search. - Chatbot - Create AI chatbots that fetch information and generate intelligent replies. - Evaluation - Measure the quality and accuracy of AI-generated answers. - AI Agents - Build LLM-driven applications where multiple agents collabo","default_branch":null,"files":null,"tree":[],"storefront":"/r/lancedb","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/lancedb/vectordb-recipes/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}