GitHub Open Source: Build a RAG System from Scratch Using Local LLMs
tom_doerr · x · 2026-08-07
The rag-from-scratch open-source project aims to help developers fully understand how Retrieval-Augmented Generation (RAG) works by building it from the ground up.
Emphasizing 'no black boxes and no cloud APIs', the project relies entirely on local LLMs. It covers the principles of embeddings, building a local vector database for document storage and querying, feeding retrieved context into an LLM, and improving retrieval precision through re-ranking and normalization.
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