corrective-rag

How to build a simplified Corrective RAG assistant with Amazon Bedrock using LLMs, Embeddings model, Knowledge Bases for Amazon Bedrock, and Agents for Amazon Bedrock.

Production-grade RAG system with hybrid retrieval (Qdrant + Elasticsearch + Neo4j), Corrective RAG via LangGraph, feedback-driven reward model, and RAGAS evaluation dashboard

Agentic RAG system with LangGraph, hybrid BM25+FAISS retrieval, cross-encoder reranking, Corrective RAG, FastAPI, RAGAs evaluation, and Docker deployment

ATLAS — industrial Agentic RAG platform (LangGraph): routing, query decomposition, Corrective RAG, Self-RAG reflection. FastAPI + SSE, pluggable vector stores, auth, rate limiting, tracing, Docker, CI. Academic webinar kit on archive/academic-labs branch.

Self-correcting agentic RAG with LangGraph — combines Adaptive, Corrective, and Self-RAG. Routes queries, grades retrieved documents, and checks answers for hallucinations. Runs fully local on Ollama.

A complete, structured RAG bootcamp covering every layer of modern AI pipelines, data ingestion, vector search, agentic architectures, memory, guardrails, and real-world evaluation. Built with LangChain, LangGraph, and Python.

Self-updating research assistant using RAPTOR, corrective RAG, and arXiv retrieval.

An engineering-oriented Agentic RAG system built with FastAPI, LangGraph and Qdrant, featuring multi-user document isolation, hybrid retrieval, reranking, corrective retrieval, document-version-aware conversations and streaming Web UI.

Corrective-RAG flood and disaster relief assistant for Assam, grounded in 27 official NDMA/ASDMA/CWC/IMD documents, with a live situational map computing real-time flood risk from rainfall and river discharge data on satellite imagery. Falls back to government-only web search when retrieval is unreliable.

CRAG with MinerU

Corrective RAG with LangGraph: evaluates retrieval quality, routes to web search when needed, refines context, and generates grounded answers.

adaptive rag, corrective rag and agentic rag examples using langgraph

A research notebook that answers only from the sources you give it. Add a PDF, a YouTube link or a web page, then ask: every sentence cites the exact page, timestamp or character range behind it. Hybrid retrieval, reranking and a corrective loop that refuses rather than guesses.

Agentic RAG that verifies every citation against source text before answering, and abstains when the evidence does not hold. Self-correcting retrieval loop, deterministic citation grounding, prompt-injection defence.

Autonomous 10-Agent LangGraph Swarm transforming messy industrial feeds into 252-column master catalog truth with in-memory DuckDB (27K brands, 161K LOVs), SHA-256 DBOM cryptographic provenance, AST parametric search, and closed-loop active learning.

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

A self-correcting Agentic RAG pipeline with MongoDB Vector Search, built to run entirely on constrained local hardware.

Automated Agentic GitHub PR review bot — GPT-5 agentic system with 3 tools: Corrective RAG (project context), MCP web search (live docs), and ruff linter. Redis-Celery task queue. Structured review comments posted automatically on every PR.

Successfully developed a Healthcare AI Clinical Decision Support System, leveraging LangGraph, GPT-4o-mini, and PubMed to deliver real-time patient risk stratification, evidence-based treatment recommendations, and personalized clinical road maps with integrated drug safety validations.

A RAG agent that checks its own answers before trusting them and searches the web instead of guessing when its knowledge base falls short.