🔥 Trending Repository: fastapi
📝 Description: FastAPI framework, high performance, easy to learn, fast to code, ready for production
🔗 Repository URL: https://github.com/fastapi/fastapi
🌐 Website: https://fastapi.tiangolo.com/
📖 Readme: https://github.com/fastapi/fastapi#readme
📊 Statistics:
🌟 Stars: 90.2K stars
👀 Watchers: 722
🍴 Forks: 8K forks
💻 Programming Languages: Python
🏷️ Related Topics:
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🧠 By: https://t.me/DataScienceM
📝 Description: FastAPI framework, high performance, easy to learn, fast to code, ready for production
🔗 Repository URL: https://github.com/fastapi/fastapi
🌐 Website: https://fastapi.tiangolo.com/
📖 Readme: https://github.com/fastapi/fastapi#readme
📊 Statistics:
🌟 Stars: 90.2K stars
👀 Watchers: 722
🍴 Forks: 8K forks
💻 Programming Languages: Python
🏷️ Related Topics:
#python #api #json #framework #web #rest #json_schema #async #swagger #openapi #python3 #asyncio #swagger_ui #redoc #openapi3 #python_types #uvicorn #starlette #pydantic #fastapi
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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: Yuxi-Know
📝 Description: 结合LightRAG 知识库的知识图谱智能体平台。LangChain v1 + Vue + FastAPI。集成主流大模型、LightRAG、MinerU、PP-Structure、Neo4j 、联网检索、工具调用。
🔗 Repository URL: https://github.com/xerrors/Yuxi-Know
🌐 Website: https://xerrors.github.io/Yuxi-Know/
📖 Readme: https://github.com/xerrors/Yuxi-Know#readme
📊 Statistics:
🌟 Stars: 2.8K stars
👀 Watchers: 28
🍴 Forks: 357 forks
💻 Programming Languages: Python - Vue - JavaScript - CSS - Shell - HTML
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: 结合LightRAG 知识库的知识图谱智能体平台。LangChain v1 + Vue + FastAPI。集成主流大模型、LightRAG、MinerU、PP-Structure、Neo4j 、联网检索、工具调用。
🔗 Repository URL: https://github.com/xerrors/Yuxi-Know
🌐 Website: https://xerrors.github.io/Yuxi-Know/
📖 Readme: https://github.com/xerrors/Yuxi-Know#readme
📊 Statistics:
🌟 Stars: 2.8K stars
👀 Watchers: 28
🍴 Forks: 357 forks
💻 Programming Languages: Python - Vue - JavaScript - CSS - Shell - HTML
🏷️ Related Topics:
#docker #vue #neo4j #kgqa #kbqa #rag #fastapi #llms
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🧠 By: https://t.me/DataScienceM
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