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Build from Scratch with LanceDB ๐Ÿ› ๏ธ๐Ÿš€

Start building your GenAI applications from the ground up using LanceDB's efficient vector-based document retrieval capabilities! ๐Ÿ“‘

Get Started in Minutes โฑ๏ธ

These examples provide a solid foundation for building your own GenAI applications using LanceDB. Jump from idea to proof of concept quickly with applied examples. Get started and see what you can create! ๐Ÿ’ป

Build From Scratch Description Links
Build RAG from Scratch๐Ÿš€๐Ÿ’ป ๐Ÿ“ Create a Retrieval-Augmented Generation (RAG) model from scratch using LanceDB. GitHub
Open In Collab
Local RAG from Scratch with Llama3๐Ÿ”ฅ๐Ÿ’ก ๐Ÿซ Build a local RAG model using Llama3 and LanceDB for fast and efficient text generation. GitHub
Python
Multi-Head RAG from Scratch๐Ÿ“š๐Ÿ’ป ๐Ÿคฏ Develop a Multi-Head RAG model from scratch, enabling generation of text based on multiple documents. GitHub
Python