LlamaIndex is the leading document agent and OCR platform

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

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

[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

Data framework for your LLM applications. Focus on server side solution

🧠 AI-powered enterprise search engine 🔎

💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram

Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, speech synthesis and recognition, web search, memory, presets, assistants,and more. Linux, Windows, Mac

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

A database of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonomous AI agents

The open source post-building layer for agents. Our environment data and evals power agent post-training (RL, SFT) and monitoring.

Ship RAG based LLM web apps in seconds.

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs

An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.

Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.

Chat with multiple PDFs locally

This repository provides very basic flask, streamlit, and docker examples for the llama_index (fka gpt_index) package

This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.

End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects

Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speed Up Responses, and Ensure Non-Stop Reliability.

An example of multi-agent orchestration with llama-index

Python toolkit for building graph-enhanced GenAI applications

A working example of RAG using LLama 2 70b and Llama Index

A CLI tool for threat modeling and visualizing AI agents built using popular frameworks like LangGraph, AutoGen, CrewAI, and more.

Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.

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