GitHub热门项目: Autogen_GraphRAG_Ollama

GitHub 项目：Autogen_GraphRAG_Ollama 仓库地址：https://github.com/karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama Stars：844 | 作者：karthikvenkatesan-eaton 项目描述：Microsoft's GraphRAG + AutoGen + Ollama + Chainlit = Fully Local & Free Multi-Agent RAG Superbot =================================================== 自述文件内容： # GraphRAG + AutoGen + Ollama + Chainlit UI = Local Multi-Agent RAG Superbot  This application integrates GraphRAG with AutoGen agents, powered by local LLMs from Ollama, for free and offline embedding and inference.主要亮点包括： - **Agentic-RAG:** - Integrating GraphRAG's knowledge search method with an AutoGen agent via function calling. - **Offline LLM Support:** - Configuring GraphRAG (local & global search) to support local models from Ollama for inference 和嵌入。 - **Non-OpenAI Function Calling:** - Extending AutoGen to support function calling with non-OpenAI LLMs from Ollama via Lite-LLM proxy 服务器。 - **Interactive UI:** - Deploying Chainlit UI to handle continuous conversations, multi-threading, and user input settings.   ## Useful Links 🔗 - **完整指南：** Microsoft 的 GraphRAG + AutoGen + Ollama + Chainlit = 完全本地且免费的多代理 RAG Superbot [Medium.com](https://medium.com/@karthik.codex/microsofts-graphrag-autogen-ollama-chainlit-complete-local-free-multi-agent-rag-superbot-61ad3759f06f) 📚 ## 📦 Installation and Setup Linux Follow these steps to set up and run AutoGen GraphRAG Local with Ollama and Chainlit UI: 1. **安装法学硕士：** Visit [Ollama's website](https://ollama.com/) for installation files. ````bash 奥拉马·拉·米斯特拉尔 ollama pull nomic-embed-text 欧拉马拉 llama3 乌拉马服务 ```` 2. **Create conda environment and install packages:** ````bash conda create -n RAG_agents python=3.12 conda 激活 RAG_agents git clone https://github.com/karthik-codex/autogen_graphRAG.git cd autogen_graphRAG pip install -r 要求.txt ```` 3. **Initiate GraphRAG root folder:** ````bash mkdir -p ./输入 python -m graphrag.index --init --root . mv ./utils/settings.yaml ./ ```` 4. **Replace 'embedding.py' and 'openai_embeddings_llm.py' in the GraphRAG package folder using files from Utils folder:** ````bash sudo find / -name openai_embeddings_llm.py sudo find / -name embedding.py ```` 5. **Create embeddings and knowledge graph:** ````bash python -m graphrag.index --root . ```` 6. **启动Lite-LLM代理服务器：** ````bash litellm --模型 ollama_chat/llama3 ```` 7. **运行应用程序：** ````bash chainlit运行appUI.py ```` ## 📦 安装和设置 Windows Follow these steps to set up and run AutoGen GraphRAG Local with Ollama and Chainlit UI on Window