Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
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Updated
Oct 10, 2025 - Python
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
🧠 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
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.
🔍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/
An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
Chat with multiple PDFs locally
Python toolkit for building graph-enhanced GenAI applications
A CLI tool for threat modeling and visualizing AI agents built using popular frameworks like LangGraph, AutoGen, CrewAI, and more.
Turn topics into essays in seconds!
Higher performance OpenAI LLM service than vLLM serve: A pure C++ high-performance OpenAI LLM service implemented with GPRS+TensorRT-LLM+Tokenizers.cpp, supporting chat and function call, AI agents, distributed multi-GPU inference, multimodal capabilities, and a Gradio chat interface.
This open source chatbot project lets you create a chatbot that uses your own data to answer questions, thanks to the power of the OpenAI GPT-3.5 model.
Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.
Load a PDF file and ask questions via llama_index and GPT
Add a description, image, and links to the llama-index topic page so that developers can more easily learn about it.
To associate your repository with the llama-index topic, visit your repo's landing page and select "manage topics."