Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

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The easiest way to use Agentic RAG in any enterprise

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

The PHP Agentic Framework to build production-ready AI driven applications. Connect components (LLMs, vector DBs, memory) to agents that can interact with your data. With its modular architecture it's best suited for building RAG, multi-agent workflows, or business process automations.

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

企业级 Agentic RAG 智能体 - 全链路覆盖文档解析、多路检索、意图识别、问题重写、会话记忆、MCP 工具调用与深度思考。面向真实业务场景，从 0 到 1 完整工程实现。

Hands-on LangGraph course repo for building production-grade LLM agents with Agentic RAG, ReAct, and reflection workflows.

Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling

Agentic RAG R1 Framework via Reinforcement Learning

Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LLMs and Generates context for any coding question, in order to streamline the development of sophisticated AI-driven applications.

Agentic RAG for any scenario. Customize sources, depth, and width

Agentic RAG项目，study文件夹下是学习路径代码（可无视> . <）

Embeddable RAG library for Elixir/Phoenix with agentic pipelines and dashboard

Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models.

Complex Reasoning Rag System, Agentic Rag System

Youtu-RAG: Next-Generation Agentic Intelligent Retrieval-Augmented Generation System

A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.

open source assistant hybrid using small models (2b - 5b) and gemini , with image and agentic tool capabilities and integration of RAG with effiecient memory. android support using adb

How to build a Multi-Agentic Systems for RAG using LangGraph - Full project

Agentic RAG to achieve human like reasoning

HiveMind Protocol - A Local-First, Privacy-Preserving Architecture for Agentic RAG

Planning docs and PRDs for the Claude Code Agentic RAG Masterclass video series. Build a full-stack AI app with Python, React, and Supabase.

一个按路线图逐步实现的 RAG 学习项目：从 Naive RAG → Advanced RAG → Agentic RAG → GraphRAG & Fine-tuning → RAGOps，在本地用 LangChain + 向量库把“文档问答”跑通，并逐步加入语义分块、混合检索、重排序、路由、自反思与工具调用等能力。 从最简单的 Demo 进化到企业级、甚至科研级的 RAG 系统。

A fully custom chatbot built with Agentic RAG (Retrieval-Augmented Generation), combining Gemini models with a local knowledge base for accurate, context-aware, and explainable responses. Features a lightweight, dependency-free frontend and a streamlined FastAPI backend for complete control and simplicity.

Build programmatically custom agentic workflows, AI Agents, RAG systems for java

An NVIDIA AI Workbench example project for an Agentic Retrieval Augmented Generation (RAG)

Build an agentic RAG app from scratch by collaborating with Claude Code. 8-module course covering hybrid search, reranking, text-to-SQL, subagents, and more. React + FastAPI + Supabase.

Agentic RAG, Multi-Agent Systems, and Vision Reasoning are three pipelines to find the perfect LLM