The bedrock layer for AI coding agents. One governance.md. Any project. Never stale. Universal skills + cross-agent compilation (Claude, Cursor, Codex, Gemini, Aider).

Implementation of Corrective RAG using LangChain and LangGraph.

It shows how to use langgraph-builder.

Nous: A privacy-focused personal knowledge assistant using local LLMs to securely interact with your documents and enhance information retrieval.

Training code for advanced RAG techniques - Adaptive-RAG, Corrective RAG, RQ-RAG, Self-RAG, Agentic RAG, and ReZero. Reproduces paper methodologies to fine-tune LLMs via SFT and GRPO for adaptive retrieval, corrective evaluation, query refinement, self-reflection, and agentic search behaviors.

Customer Driven Project (TDT4290) The project is a collaboration between NTNU and KartAI. Showcasing use of AI for streamlining building case process

RAG system using Hugging Face models, multiple vector stores (Chroma, Pinecone, FAISS), and CRAG, with sentence transformers and benchmarking tools for optimized retrieval and content generation.

Investigating the efficacy of Retrieval-Augmented Generation (RAG) and Corrective Retrieval-Augmented Generation (CRAG) in harnessing external knowledge to improve AI model performance and output quality.

Imagine a website where users can skip complex navigation and get instant answers with just a question. This project explores how a Corrective-Retrieval-Augmented Generation (CRAG) chatbot reduces server load and network congestion by streamlining interactions-enhancing both efficiency and user experience in a way traditional navigation can't.

Production-grade RAG Document Intelligence Platform — LangGraph Adaptive RAG + CRAG, LangSmith observability, RAGAS evaluation,Qdrant hybrid search (BGE dense + BM42 sparse + RRF), jinaai/jina-reranker-v1-tiny-en  re-ranking, FastAPI + Docker

🧮 Multi-agent AI math tutor built with LangGraph — CRAG retrieval, episodic & semantic long-term memory, Tavily MCP web search, Google OAuth, and Neo4j-style memory graph. Powered by LLaMA 3.3 70B on Groq.

Corrective Retrieval Augmented Generation (CRAG) with OpenEvals on LangGraph

Retrieval-Augmented Generation (RAG) system with a bunch of corrective methods. Bachelor's degree code.

AutoDocThinker is a production-ready Agentic RAG system that ingests PDFs, DOCX, URLs, and raw text into a Hybrid Search index (ChromaDB + BM25 + RRF + CrossEncoder), then answers natural language queries through four selectable LangGraph workflows — Naive, Advanced, CRAG, and Self-RAG.

Orquestrador de agentes RAG corretivo (CRAG) para resolução de problemas de TI com rastreamento LangGraph, FastAPI, ChromaDB e OpenTelemetry/Phoenix.

It is a enhanced version of Past Portals with Multi-Modal Input system , C-RAG , Feedback Loop, and Voice-First Conversational AI bot

A Small Collection of Python Games.

🎥 Transform YouTube videos into an intelligent Q&A system with this minimal RAG pipeline using LangChain for efficient transcript extraction and interaction.