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.

rag-classic-ml

Classical Machine Learning methods for Reterival Augmented Generation

rag-cli

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

rag-cli-tool

CLI tool for RAG over local documents

rag-colls

rag-colls - Implement recent advanced RAG techniques

rag-consistency-scorer

MMD-based semantic consistency scoring for RAG pipeline outputs

rag-context-guard

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

rag-context-indexer

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

rag-contract

Tiny CI tool for RAG retrieval regression testing.

rag-core-api

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.

rag-core-lib

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

rag-debugger

Real-time debugging SDK for RAG pipelines

rag-doc-search

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

rag-doctor

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

rag-document-viewer

RAG Document Viewer

rag-easy

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

rag-engine

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

rag-eval

A RAG evaluation framework

rag-eval-kit

Pluggable RAG evaluation framework

rag-eval-pro

Production-grade RAG evaluation library with comprehensive metrics and reporting

rag-eval-tool

A comprehensive evaluation toolkit for RAG and LLMs.

rag-evaluate

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.

rag-evaluation

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

rag-evaluation-dataset

Generate QA pairs from JSON documents to evaluate RAG pipelines

rag-evaluator

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

rag-exp

A Python package for explaining RAG pipelines.

rag-fact-checker

Fact-checking system using large language models.

rag-firewall

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-forge-core

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

rag-forge-evaluator

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

rag-forge-observability

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

rag-foundry

Opinionated, production-minded core library for RAG systems

rag-guard-enterprise

Enterprise-grade data poisoning detection & alerting for RAG systems

rag-harness

CLI tool for evaluating and comparing RAG systems.

rag-helper

rag-house

rag-integration

RAG integration plugin for mloda

rag-kmk

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

rag-knowledge-base

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

rag-knowledge-graph-mcp

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

rag-knowledge-mcp

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

rag-knowledge-preparation

RAG Knowledge Preparation in Python

rag-lab-bsg

Bronze / Silver / Gold 텍스트 처리 실습 라이브러리

rag-lecture

RAG system for lecture notes using LangChain and OpenAI

rag-llama3

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.

rag-llm-api-pipeline

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

rag-mcp

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

rag-mcp-server

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

rag-mcp-server-lizhibing

RAG MCP Server for document search and retrieval

rag-mem

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

rag-memory

PostgreSQL pgvector-based RAG memory system with MCP server