Popular GitHub Repositories for Agentic Rag

10 Lessons to Get Started Building AI Agents

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

YT Navigator: AI-powered YouTube content explorer that lets you search and chat with channel videos using AI agents. Extract insights from hours of content in seconds with semantic search and precise timestamps.

Connect your AI app directly to your data with a full stack solution. Fully connected Agentic Graph RAG pipelines mean you can focus on fine tuning your app and not building data infrastructure.

Connect to your customer data using any LLM and gain actionable insights. IdentityRAG creates a single comprehensive customer 360 view (golden record) by unifying, consolidating, disambiguating and deduplicating data across multiple sources through identity resolution.

A python library for creating AI assistants with Vectara, using Agentic RAG

??? Simple way to create composable AI agents

Comprehensive resources on Generative AI, including a detailed Codebase and tutorials

Agents and RAG workflows with little to no code

Interactive LLM Chatbot that constructs direct and transitive software dependencies as a knowledge graph and answers user's questions leveraging RAG and critic-agent approach

This repository provides the building blocks for integrating LangChain, LangGraph, and the Tilores entity resolution system.

A RAG system is just the beginning of harnessing the power of LLM. The next step is creating an intelligent Agent. In Agentic RAG the Agent makes use of available tools, strategies and LLM to generate response in a specialized way. Unlike a simple RAG, an Agent can dynamically choose between tools, routing strategy, etc.

The revolutionary open-source AgenticAI RAG w/ internet search capability, unleashing the world’s knowledge, empowering humanity with unparalleled intelligence and freedom.

Zyeta.io - A simpler way of interacting with Agents and Tools ⭐ ?

Production-ready Agentic AI ChatBot using Llamaindex and Groq-Llama 3.3

Customize ChatGPT and unleash the full potential of generative AI with Vector Vault

This project offers hands-on examples for LangChain and LangGraph, complementing their textbooks with practical guides on workflows, tools, and agentic RAG techniques.

Agentic RAG with LangGraph ?

Simple agents are good for 1-to-1 retrieval system. For more complex task we need multi steps reasoning loop. In a reasoning loop the agent can break down a complex task into subtasks and solve them step by step while maintaining a conversational memory.

The Agentic RAG Fitness Chatbot is an AI-powered application designed to provide personalized fitness guidance and workout recommendations.