Python agents

Installable RAG + MCP skills framework with a reliability-loop workflow.

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This repository includes rag_assistant

Production contract layer for RAG systems — typed, explicit, observable, composable.

RAG benchmarking tool

Reproducible RAG baselines and evaluations with LangChain

Framework-agnostic evaluation harness for RAG and agentic AI systems

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CLI tool to parse, chunk, and evaluate Markdown documents for RAG pipelines with token-accurate chunking support

RAG Citation is an project that combines Retrieval-Augmented Generation (RAG) with automatic citation generation. This tool is designed to enhance the credibility of AI-generated content by providing relevant citations for the information used in generating responses.

Classical Machine Learning methods for Reterival Augmented Generation

A project to show good CLI practices with a fully fledged RAG system.

CLI tool for RAG over local documents

rag-colls - Implement recent advanced RAG techniques

MMD-based semantic consistency scoring for RAG pipeline outputs

Middleware that prevents sensitive information leakage in RAG pipelines by analyzing the context assembly graph

Indexador de contexto enriquecido para optimización de RAG en LLMs con soporte Agentic Scaffolding, Auto-Sync, Trazabilidad, Persistencia tmux e Integración Claude Code

Tiny CI tool for RAG retrieval regression testing.

The rag-core-api contains the API layer for the RAG template for document retrieval, question answering, knowledge base management in the vector database and more.

The rag-core-lib contains the shared components of at least two of the rag libs.

Real-time debugging SDK for RAG pipelines

This package offers a lightweight and straightforward solution for implementing Retrieval-augmented generation (RAG) functionality with large language models (LLMs).

Agentic RAG pipeline failure diagnosis — no database, no LLM API, no cloud

RAG Document Viewer

A simple and secure RAG framework to rag any LLM model with ease.

A Retrieval-Augmented Generation (RAG) Engine for managing embeddings and similarity search

A RAG evaluation framework

Pluggable RAG evaluation framework

Production-grade RAG evaluation library with comprehensive metrics and reporting

A comprehensive evaluation toolkit for RAG and LLMs.

RAG Evaluator is a Python library for evaluating Retrieval-Augmented Generation (RAG) systems. It provides various metrics to evaluate the quality of generated text against reference text.

A robust Python package for evaluating Retrieval-Augmented Generation (RAG) systems.

Generate QA pairs from JSON documents to evaluate RAG pipelines

A library for evaluating Retrieval-Augmented Generation (RAG) systems

A Python package for explaining RAG pipelines.

Fact-checking system using large language models.

Client-side retrieval firewall for RAG systems — blocks prompt injection and secret leaks, re-ranks stale or untrusted content, and keeps all data inside your environment.

RAG pipeline primitives: ingestion, retrieval, context management, and security

Evaluation engine: RAGAS, DeepEval, LLM-as-Judge, and audit report generation

Observability stack: OpenTelemetry tracing, Langfuse integration, and drift detection

Opinionated, production-minded core library for RAG systems

Enterprise-grade data poisoning detection & alerting for RAG systems

CLI tool for evaluating and comparing RAG systems.

rag-house

RAG integration plugin for mloda

A simple RAG implementation for educational purposes implemented by Murat Karakaya Akademi

100% offline RAG storage and MCP server for querying local document knowledge bases

Rag Knowledge Graph automation via MCP. Includes index document, rag query, add graph edge. By MEOK AI Labs.

MCP server for rag knowledge. Features semantic search, knowledge graph query, index document. From MEOK AI Labs.

RAG Knowledge Preparation in Python

Bronze / Silver / Gold 텍스트 처리 실습 라이브러리

RAG system for lecture notes using LangChain and OpenAI

This repository contains a project that implements a Retrieval-Augmented Generation (RAG) system using the LLaMA3 model. The project focuses on creating embeddings for instructions of a professional bioinformatic software to help users conduct biology research.

Multimodal RAG pipeline for low-compute, local, real-world deployment

This is a local rag-mcp solution with chromadb using langchain and docling

MCP server for RAG (Retrieval-Augmented Generation) operations with local document indexing

RAG MCP Server for document search and retrieval

RAG and Memory tools exposed via Model Context Protocol (MCP)

PostgreSQL pgvector-based RAG memory system with MCP server

Production-grade RAG memory system for Hermes Agent with hybrid TF-IDF + Neural retrieval, auto-capture, and zero-configuration setup

A unified evaluation framework for RAG models.

A simple RAG module with in-memory vector store and OpenAI integration

Async buffered logger with MongoDB and PostgreSQL support for your RAG applications

MCP server for semantic PDF querying using RAG

Next.js 公式ドキュメント RAG CLI (next-devtools-mcp)

A simple RAG implementation for educational purposes implemented by Özgür ÖZŞEN

RAG workflow Optimizer based on Bayesian Optimization

RAG Oracle – failure diagnostics for Retrieval-Augmented Generation systems

Lightweight orchestrator with in-process gatekeeper + micro-batching for multi-agent RAG.

AI-powered document analysis and query generation tool with RAG capabilities

Diagnose RAG pipeline failures by type and location. Four Soils classification. Epistemic mismatch detection.

Highlight text chunks in PDFs – a FastAPI microservice for RAG pipelines

A library for Retrieval-Augmented Generation with Azure OpenAI

Production-grade RAG: BGE-M3 + FAISS + BM25 + RRF + Reranker + HyDE

A pipeline for question answering and retrieval-augmented generation (RAG)

Compare RAG patterns with real benchmarks. Run one command, see which pattern wins.

RAG client

RAG++: High-performance retrieval for memory-conditioned selection (Rust core with Python bindings)

A minimal, extensible framework for preparing documents for RAG/LLM workflows

Improve your RAG pipelines for your python repositories.

Agentic RAG SDK - MCP server for grounding AI coding agents with Voyage AI + Qdrant hybrid retrieval

Heuristic quality metrics for RAG retrieval and grounded answers. Python port of @mukundakatta/rag-quality-kit.

Cross-encoder reranker utility for LangChain documents

A unified API for various RAG Retrieval reranker models.

A generic RAG MCP server with pluggable embedding providers and vector stores

A tool for crawling, indexing, and semantically searching web content with RAG capabilities

Scan RAG documents for hidden prompt injections, invisible text attacks, and data exfiltration payloads before they enter your vector database.

Auto-removes headers, footers, and noise from PDF text for RAG apps.

A flexible RAG (Retrieval-Augmented Generation) experimentation framework

Semantic code chunking for LLM processing with policy-based configuration

RAG Evaluation Framework using Ragas metrics and MLflow tracking

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RAGssistant: A RAG Assistant for your tasks

Find stale RAG chunks by age, version, and freshness requirements. Python port of @mukundakatta/rag-staleness-auditor.

A lightweight Python starter for retrieval-augmented generation workflows.

Generate startup ideas grounded in real YC data using Retrieval-Augmented Generation (RAG).

FAISS-based RAG utility library

An extensible, abstract framework for building Retrieval-Augmented Generation (RAG) systems with unlimited technique possibilities

rag tokenizer for RAGFlow