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How we leapfrogged traditional vector based RAG with a 'language map'

TL;DR: Vector-based RAG performs poorly for many real-world applications like codebase chats, and you should consider 'language maps'.

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  1. We wanted to introduce our codebase chat that uses a wiki of your repo to do retrieval instead of traditional vector or keyword RAG.

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  2. This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

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  3. Got tired of wiring up vector stores, embedding models, and chunking logic every time I needed RAG.

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  4. We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs.

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  5. Chonkie

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    A Fast, Lightweight Text Chunking Library for RAG

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