This is RAG Modules Repo. This includes various modules in the RAG ecosystem.
-
Updated
Aug 28, 2024 - Python
This is RAG Modules Repo. This includes various modules in the RAG ecosystem.
Production-ready Retrieval-Augmented Generation (RAG) system with hybrid retrieval, Self-RAG agent workflows, cross-encoder reranking, and comprehensive benchmarking.
对话式 3C 电子产品 AI 导购 Agent · 双层 RAG(Agentic 外层多 Agent 编排 + Modular 内层 6 阶段可组合检索)+ 评测驱动优化(5 维加权)+ 全链路可观测 · FastAPI/LangGraph + Next.js 15 + SwiftUI 三端全栈
A Reusable Modular RAG Architecture for Scalable, Domain-Adaptable LLM Applications
Explore the evolution of Retrieval-Augmented Generation (RAG) through three progressively sophisticated pipelines built with Langflow: Naive RAG (basic retrieval), Advanced RAG (semantic chunking + re-ranking + hallucination control), and Modular RAG (multi-store routing with LLM-powered query classification).
A Retrieval-Augmented Generation system that answers questions from technical PDFs using semantic retrieval, reranking, and source-grounded generation.
To associate your repository with the modular-rag topic, visit your repo's landing page and select "manage topics."