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.
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Updated
May 22, 2024 - Jupyter Notebook
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
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.
CRAG with MinerU
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.
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.
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
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.
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.
It is a enhanced version of Past Portals with Multi-Modal Input system , C-RAG , Feedback Loop, and Voice-First Conversational AI bot
A full-stack Next.js RAG assistant for Udemy course subtitles. Features advanced query translation, hybrid vector/SQL retrieval, Reciprocal Rank Fusion (RRF), LangGraph-based Corrective RAG (CRAG), and input/output guardrails.
企业级 Agentic RAG 技术文档问答系统
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.
Agentic Corrective RAG over 484 ClinicalTrials.gov oncology protocols. LangGraph CRAG with LLM-as-judge grading + cross-encoder reranker for two-stage retrieval. Three independent refusal gates. PubMedBERT, FAISS, Groq Llama 3.3 70B. Live demo on Streamlit.
Production-grade Corrective RAG system in LangGraph — scores retrieved chunks before generation, falls back to web search when needed, and filters context to sentence level.
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