Popular GitHub Repositories for Ragas

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

Multi-step Agentic Self-Corrective RAG with websearch

A playbook and Colab-based demo for helping engineering teams adopt Generative AI. Includes a working RAG pipeline using LangChain + Chroma, OpenAI GPT-4o embeddings, prompt engineering best practices, and automated LLM evaluations with Ragas.

AI-driven prompt generation and evaluation system, designed to optimize the use of Language Models (LLMs) in various industries. The project consists of both frontend and backend components, facilitating prompt generation, automatic evaluation data generation, and prompt testing.

This project focuses on developing a Retrieval-Augmented Generation (RAG) system tailored for Contract Q&A.

This project aims to develop an enterprise-grade Retrieval-Augmented Generation (RAG) system by automating the prompt engineering process. The goal is to create a comprehensive solution that simplifies the task of crafting effective prompts for Language Models (LLMs), enabling businesses to leverage advanced AI capabilities more efficiently.

Explore the evaluation of Retrieval Augmented Generation (RAG) pipelines using the RAGAS framework, leveraging OpenAI's Wiki page. This project provides a comprehensive solution to assess and build effective pipelines for enhanced information retrieval and generation.

Generative AI RAG Chatbot for Electricity and Gas Company

This project integrates LangFlow as a backend API with a Streamlit frontend for a chatbot interface. It also includes RAGAS evaluation for measuring the performance of RAG (Retrieval-Augmented Generation) pipelines.

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.

This project focuses on Automatic Prompt Engineering (APE) for Retrieval-Augmented Generation (RAG) systems.

A production-ready Medical Knowledge Assistant powered by RAG + RAGAS. Enables healthcare professionals to query drug data, clinical guidelines, and medical literature with real-time retrieval-augmented generation. Features safety validation through RAGAS metrics (Faithfulness, Context Precision, Relevancy) and a REST API for seamless deployment.

A web sandbox for hands-on learning of LLM and RAG Evaluation

?️ LexiGuard is a compliance-aware GenAI system that answers legal and policy queries using evidence-based, hallucination-free, multi-LLM orchestration. It supports GDPR, HIPAA, DPDP, and AI Act via modular RAG, evaluation, and guardrails—built for FAANG-grade reliability and explainability.

This repository implements the evaluation metrics from RAGAS to a RAG pipeline on langflow.

Create syntetic datasets for RAG evaluation

Trabalho de Conclusão de Curso do MBA em Data Science e Analytics da USP/ESALQ, turma 2023. Desenvolve um sistema de recuperação da informação baseado em LLMs e RAG, aplicado à lista RENAME de medicamentos essenciais. O protótipo utiliza embeddings, bancos vetoriais e LangChain, com avaliação realizada pelo framework RAGAS.

Senor 2.0 is an LLM-powered chatbot trained on Indian legal documents, designed to assist Indian citizens in understanding and navigating legal procedures.