We believe that every SOTA result is only valid on its own dataset. RAGView provides a unified evaluation platform to benchmark different RAG methods on your specific data.
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Updated
Sep 26, 2025
We believe that every SOTA result is only valid on its own dataset. RAGView provides a unified evaluation platform to benchmark different RAG methods on your specific data.
Generate & Ship UI with minimal effort - Open Source Generative UI with natural language
Quickest way to production grade RAG UI.
AI-powered mock interview platform using Next.js, Gemini AI, Drizzle, NeonDB, and Clerk for dynamic questions, feedback & session recording, plus Dockerized microservices bypassing API rate limiting.
Build a RAG preprocessing pipeline
Production-ready Chainlit RAG application with Pinecone pipeline offering all Groq and OpenAI Models, to chat with your documents.
Search for a holiday and get destination advice from an LLM. Observability by Dynatrace.
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.
When retrieval outperforms generation: Dense evidence retrieval for scalable fake news detection - LDK 2025
Good Memory aims to be a dependable, friendly, intelligent memory layer for agents.
🤖 AI-Powered PDF Chat App | Dual AI Engine (Alchemyst + Gemini) | RAG Pipeline | Vector Search | MERN + TypeScript
Learn Retrieval-Augmented Generation (RAG) from Scratch using LLMs from Hugging Face and Langchain or Python
This project demonstrates a real-time AI "Meeting Coach" showcasing the use of Confluent Cloud for Apache Flink AI Inference functions to build a real-time Retrieval-Augmented Generation (RAG) pipeline. The demo uses both a static knowledge base of sales documents and real-time simulated meeting data.
🛡️ Web3 Guardian is a comprehensive security suite for Web3 that combines browser extension and backend services to provide real-time transaction analysis, smart contract auditing, and risk assessment for decentralized applications (dApps).
This repo is for advanced RAG systems, each branch will represent a project based on RAG.
Demo LLM (RAG pipeline) web app running locally using docker-compose. LLM and embedding models are consumed as services from OpenAI.
A comprehensive collection of RAG (Retrieval Augmented Generation) implementations 📚✨, from foundational concepts to advanced agentic 🤖 and knowledge graph 🌐 RAGs
Advanced RAG Pipelines optimized with DSPy
Project Agora: An expert system for the Google ADK, powered by a hierarchical multi-agent framework to automate code generation, architecture, and Q&A.
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