ragas

[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation

An LLM Chatbot that dynamically retrieves and processes resumes using RAG to perform resume screening.

Forty hands-on recipes for production-grade retrieval-augmented generation, Nebius-first and provider-agnostic.

Visual RAG workflow studio that auto-generates eval sets, runs RAGAS evals, and deploys workflows as local HTTP APIs.

An intelligent customer support system powered by LangGraph and LangChain that uses Retrieval-Augmented Generation (RAG) to provide accurate, context-aware responses to customer queries. Built with FastAPI, FAISS, and multi-stage validation for production-ready deployment.

Hybrid enterprise AI agent built for ORRA. It utilizes a robust, RAGAS-evaluated retrieval pipeline and features a FastAPI API to allow seamless querying of ORRA documents and FAQs.

Full-stack RAG template: FastAPI + LangChain LCEL + Next.js 14. Multi-KB retrieval, hybrid search (dense+BM25/RRF), FlashRank reranking, SSE streaming, RAGAS evaluation & JWT auth. MySQL + Chroma + MinIO.

Production-ready RAG system for technical documentation with hybrid retrieval, cross-encoder reranking, and RAGAS evaluation metrics.

Multi-step Agentic Self-Corrective RAG with websearch

RAG Evaluation Pipeline with RAGAS

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

Enterprise RAG pipelines with native IRIS vector search. 6 production implementations with RAGAS evaluation, LangChain, AWS/Azure configs. No external VectorDB required.

Production-grade RAG pipelines with evaluation baked in

A RAG system for Contract Q&A that enables chatting with a contract and asking questions about the contract. It has an interface build with React and FastAPI in backend integrating rag-pipeline with Autogen agents and websockets for communication. Evaluation of the RAG is done using RAGAS.

Evidence-based clinical workflow assistant with agentic RAG for hypertension care with LangGraph orchestration, hybrid retrieval, OKF knowledge spine, safety-first guardrails, and Vercel deployment.

A tutorial on how to build Summary Brief from Evaluation Report - Offline+Open Source

Optimizing a Retrieval-Augmented Generation (RAG) system on the CNN/Daily Mail dataset using LangChain, with performance benchmarking and analysis via RAGAS.

Reliable RAG with built-in RAGAS evaluation. A tutorial-style LangGraph pipeline: Grade/Verify/Trace gates, hybrid retrieval (dense+BM25), per-gate cost tracking, and LangSmith tracing.

AI Engineering on Couchbase. Building AI and Agentic Apps with Foundation Models. Downloadable Book, Notebooks and Example Applications.

多模态 RAG 智能体：MCP 协议 + GraphRAG + Cross-Encoder 精排 + 多 Agent 编排 + RAGAS 评估