pguso/rag-from-scratch
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
CrawlAI RAG is an AI-powered website intelligence platform that allows users to crawl entire websites, index their content, and ask natural-language questions using Retrieval-Augmented Generation (RAG). It transforms static websites into queryable knowledge bases.
$ git clone https://github.com/AnkitNayak-dev/CrawlAI-RAG.gitDemystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).
Agentic RAG for any scenario. Customize sources, depth, and width
Summon it with a keystroke, throw in anything you want to remember or ask your own memory. A local LLM agent that restructures your knowledge into a vectorized DB. fully private, zero cloud.
Data from GitHub · snapshot Nov 13, 2026