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This project aims to compare different Retrieval-Augmented Generation (RAG) frameworks in terms of speed and performance.

RAG PDF langchain

Local repo-intelligence index + MCP server: semantic search, symbol/graph navigation, impact-surface preflight, git + GitHub papertrail, and a source-anchored memory graph.

Use a RAG Langchain agent that connects to your supermarket's inventory database and get information about product stocks and locations.

This template quickly shows how to use RAG in n8n.

A practical course on building RAG systems, tool-calling workflows, and LLM agents from scratch.

RAG with LangChain GenAI Any url

Execution video: Youtube Link

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Overview

Workflow based on the following article.

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced anal

A Full-Stack Open-Source Platform for Agentic AI Research Assistance via Deeply-Engineered Multi-Paradigm RAG

Probably one of the lightest native RAG + Agent apps out there，experience the power of Agent-powered models and Agent-driven knowledge bases in one click, without complex configuration.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

基于ragflow二次开发的后台管理系统，可以独立运行，支持批量管理知识库、聊天、智能体、用户等，解决ragflow在后台管理上的痛点。

RAGflow at your GenAI flows - for expert-knowledge access based of complex documents

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connec

Production-grade RAG toolkit — ingest PDFs, DOCX, XLSX into Qdrant with LLM metadata extraction, hybrid search, and SHA256 deduplication.

RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and

Remote Agent Invocation Layer

A passenger contact management solution for UK Train Operating Companies

Detect and prevent fraudulent rail compensation claims

Agentic AI platform transforming passive CCTV into proactive railway safety intelligence. Real-time behavioural detection (suicide risk, pickpocketing) via YOLOv8 + BiLSTM + multi-agent reasoning — ze

Set of instructions for your favorite AI agent (e.g. Cursor, Copilot, Claude, etc) for a "DHH-driven" Ruby on Rails development philosophy.

Railyard is a multi-agent orchestration system for AI-driven software development, coordinating planning, execution, and verification across isolated git tracks.

Raindrop MCP Server

🛡️ RakshaQuant - AI-powered paper trading for NSE using LangGraph multi-agent orchestration. Features 4 LLM agents, learning feedback loop, LangSmith observability & risk guardrails. Built with Groq,

Rallies is an AI powered investment research tool

A configurable Bash/PowerShell loop that runs an AI coding CLI with a fresh session each iteration

Autonomous AI development loop for Claude Code with intelligent exit detection

A long-running AI agent loop. Ralph automates software development tasks by iteratively working through a task list until completion.

Ralph Loop Optimizer: an AI-driven framework that turns any evaluatable codebase into a self-improving optimization loop for strategies, models, prompts, and workflows

Enable Codex to run objective-first autonomous loops with mandatory review and optional verification for long-running task completion

Create viral videos with AI agents

RAMen is a fast in-memory data store like Redis, but built for AI: drop-in Redis protocol, native vector search, semantic caching, and a built-in MCP server for agents. Single Go binary, BSD-3.

Open-source semantic firewall policies for autonomous AI agents. Pre-calibrated guardrails that block prompt injections, data exfiltration, and destructive commands before tool execution. Part of the

A pytest-native safety and security testing framework for agentic AI applications

Random Process Scheduler

Bulk WordPress SEO Meta Optimizer with Rank Math & AI

SEO Content Engine for LLMs - a prompt-engineering system that turns any capable AI into a world-class SEO strategist: generate, rewrite, and audit content against 49 ranking factors with multilingual

Helps organizations gain visibility into their business services and underlying IT landscape while allowing them to remediate issues before they impact service availability

Stroke and neurovascular triage with perfusion mapping

RAQA with Langchain

Proactive developer agent with tape memory, tool orchestration, and multi-channel interfaces

An MCP server for querying rasdaman with natural language.

Task:

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 retrieval. No vector DB. No embeddings.

Automated Raw Materials Inventory Management with Google Sheets, Supabase, and Gmail using n8n Webhooks

let LLMs control your desktop for tasks

Is Nanbeige 4.2 the Best Small AI Model? Tested - Local web studio and agent engine powered by Nanbeige 4.2-3B.

A structural X-ray for the codebases AI agents are writing.

Find solutions faster and speed up your workflows.

Open-source AI coding agent CLI with multi-provider support, local models, MCP, and specialized AI agents.

Static analysis scanner for SKILL.md LLM agent skills with deterministic security findings.

Razorpay's Official MCP Server

Rogue Binary Model Context Protocol (MCP): a Docker-packaged binary analysis lab for AI agents. It supports reverse engineering, malware triage, and artifact comparison with compact tool responses tha

Governance-driven AI development framework -- convention enforcement, quality gates, and domain expertise for Claude Code, Gemini CLI, and Codex

MCP server that enables language models to interact with RDKit through natural language