[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
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Updated
Oct 22, 2026 - Python
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
An LLM Chatbot that dynamically retrieves and processes resumes using RAG to perform resume screening.
Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya.
Forty hands-on recipes for production-grade retrieval-augmented generation, Nebius-first and provider-agnostic.
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.
Visual RAG workflow studio that auto-generates eval sets, runs RAGAS evals, and deploys workflows as local HTTP APIs.
Swap one RAG pipeline stage, hold the rest fixed, and measure whether the gain survives composition. The framework behind "Retrieval Augmented Generation Compositionality": 450 configurations, eight benchmarks, corpora from 5K to 200K documents.
Build RAG evaluation testsets from documents and benchmark RAG systems.
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.
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.
Research sandbox for ablation studies of RAG components (chunking, embeddings, retrieval, LLMs) on Russian-language corpora.
Production-ready RAG system for technical documentation with hybrid retrieval, cross-encoder reranking, and RAGAS evaluation metrics.
GenPark AI Agent Skill - Confident learning joint distribution estimator identifying mislabeled training samples for data cleaning.
GenPark AI Agent Skill - Multi-turn jailbreak and indirect prompt injection fuzzer evaluating LLM agent safety guardrails.
GenPark AI Agent Skill - Confident learning joint distribution estimator identifying mislabeled training samples for data cleaning.
GenPark AI Agent Skill - Covariance and correlation alignment engine ensuring synthetic datasets preserve multi-attribute feature dependencies.
Multi-step Agentic Self-Corrective RAG with websearch
GenPark AI Agent Skill - Multi-turn jailbreak and indirect prompt injection fuzzer evaluating LLM agent safety guardrails.
GenPark AI Agent Skill - Covariance and correlation alignment engine ensuring synthetic datasets preserve multi-attribute feature dependencies.
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