{"repo":"Laurent00TT/PharosRAG","free":true,"listed":false,"github":"https://github.com/Laurent00TT/PharosRAG","clone":"git clone https://github.com/Laurent00TT/PharosRAG.git","description":"Pharos — local-first agentic RAG for your team's document library: multi-format ingest, hybrid retrieval, enterprise ACL, dual HTTP + MCP exits.","language":"Python","stars":243,"topics":["agentic-rag","embeddings","fastapi","hybrid-search","knowledge-base","llm","local-first","mcp","model-context-protocol","python"],"license":"MIT","category":"mcp-servers","readme_excerpt":"English 中文 Pharos Turn PDFs, scans, docx, pptx and xlsx into a local knowledge base you can ask questions of — with enterprise access control and citations you can trace back to the page. Each RAG component was sharpened on its own, then folded into one repository: multi-identity auth, observability and systemd supervision come with it. A note on language. The code, CLI and commit history are in English; the documentation — including the 12-part learning series — is written in Chinese. This README is the English entry point and covers what the system is, how it is put together and how to run it. For anything deeper, you will be reading Chinese (or machine-translating it). --- The Lighthouse of Alexandria stood beside the Library, guiding ships to shore. Pharos does the same job, except what it lights up is your team's document library. This is not another chunking toy. Every significant decision here is backed by a measurement, argued through several rounds of adversarial review, and is running today over 77 real documents and 7,652 chunks. Installing it is one line: pip install -e '.[dev]' (src-layout, editable). Two exits, one set of semantics One knowledge base, one door for each kind of consumer: Exit Command Who uses it What it does --- --- --- --- HTTP API pharos serve curl, scripts, frontends Closed-pipeline QA: /v1/ask runs retrieve → grounding → DeepSeek → an answer with citations, plus six retrieval endpoints MCP pharos mcp agents such as Claude Code Agentic RAG: wh","default_branch":null,"files":null,"tree":[],"storefront":"/r/Laurent00TT","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Laurent00TT/PharosRAG/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}