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lancedb/vectordb-recipes ★ 974 168 APPLICATION

This repository is a comprehensive collection of examples, tutorials, and applications demonstrating how to use LanceDB (a vector database) for various AI/ML applications. It showcases patterns for retrieval-augmented generation (RAG), multimodal search, chatbots, recommendation systems, and AI agents. The repository contains both Python and JavaScript/TypeScript implementations, with many examples featuring web interfaces using Streamlit, Gradio, or React. While it serves as a valuable resource for learning LanceDB integration patterns, the quality varies across examples, and some content is marked as archived.

RATING: 7.8/10 MAINT: active DRIFT: medium
#vector-database #rag-systems #llm-applications #multimodal-search #chatbots #ai #deep-learning #llms #machine-learning #multimodal #agents #embeddings #fine-tuning #gpt #langchain #llama-index #openai #rag #gpt-4-vision #multimodal-ai #lancedb
▸ 3 reusable components found
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