🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
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Updated
Sep 26, 2026 - TypeScript
🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
🔍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/
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
🧊 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-6, GPT-5, Gemini, Claude, Grok, Ollama, DeepSeek, Perplexity, and more - chat, agents, tools, MCP, plugins, RAG, vision, voice, image and video generation, speech synthesis and speech recognition, web search, memory, presets, canvas, assistants, themes, computer use. Windows, Linux, and Mac.
The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.
An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
Ship RAG based LLM web apps in seconds.
Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.
Chat with multiple PDFs locally
End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects
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.
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