steveyeow/Feynman
Read books the way Feynman did — along with a continuously evolving network of agent-simulated great minds
An Educational Project (step by step) to teach how to build a production-ready app for RAG application.
$ git clone https://github.com/bakrianoo/mini-rag.gitRead books the way Feynman did — along with a continuously evolving network of agent-simulated great minds
Enterprise RAG ecosystem managing 32000+ semantic chunks. Features hybrid parsing (LlamaParse/PyMuPDF) and 256-dim MRL embeddings for 512MB RAM environments
AI-powered virtual executive team — a single coherent executive persona backed by 8 specialist agents (FastAPI + Next.js).
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
Data from GitHub · snapshot Nov 13, 2026