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'.
Reactions (1)
Similar products
by description similarity
Mutable.ai Codebase chat that uses a Wiki for RAG
wiki.mutable.aiWe wanted to introduce our codebase chat that uses a wiki of your repo to do retrieval instead of traditional vector or keyword RAG.
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
RAG in 3 Lines of Python
pypi.orgGot tired of wiring up vector stores, embedding models, and chunking logic every time I needed RAG.
In-Browser Graph RAG with Kuzu-WASM and WebLLM
blog.kuzudb.comWe 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.
Chonkie
github.comA Fast, Lightweight Text Chunking Library for RAG