{"repo":"flamehaven01/Flamehaven-Filesearch","free":true,"listed":false,"github":"https://github.com/flamehaven01/Flamehaven-Filesearch","clone":"git clone https://github.com/flamehaven01/Flamehaven-Filesearch.git","description":"Self-hosted RAG search engine — 34 formats, BM25+hybrid search, multi-LLM (Gemini/OpenAI/Claude/Ollama), FastAPI + Docker, production-ready in 3 min","language":"Python","stars":106,"topics":["docker","document-search","fastapi","open-source","python","rag","semantic-search","bm25","crewai","document-parsing"],"license":"MIT","category":"deployment-docker-iac","readme_excerpt":"FLAMEHAVEN FileSearch Self-hosted RAG search engine. Production-ready in 3 minutes. Quick Start • Features • Documentation • API Reference • Contributing --- 🎯 Why FLAMEHAVEN FileSearch? Stop sending your sensitive documents to third-party services. FLAMEHAVEN FileSearch is a production-grade RAG search engine — BM25+hybrid retrieval, 34 file formats, multi-LLM (Gemini, OpenAI, Claude, Ollama) — running self-hosted in minutes, not days. 🚀 Fast Production deployment in 3 minutes Vector generation in <1ms Zero ML dependencies 🔒 Private 100% self-hosted Your data never leaves your infrastructure Enterprise-grade security 💰 Cost-Effective Free tier: 1,500 queries/month No infrastructure costs Open source & MIT licensed --- Features ✨ Core Capabilities Capability Detail --- --- Search Modes Keyword, semantic, and hybrid (BM25+RRF) with automatic typo correction Quality Gate Confidence-scored hybrid results (PASS/FORGE/INHIBIT). FORGE augments with keyword fallback; INHIBIT flags low confidence . Self-adapting BM25 pool via EMA meta-learner. Zero new dependencies. Obsidian Light Mode Markdown-first vault ingest with frontmatter, aliases, tags, wikilinks, heading-aware chunking, context enrichment, exact note resolution 34 File Formats PDF, DOCX/DOC, XLSX, PPTX, RTF, HTML, CSV, LaTeX, WebVTT, images + plain text — see Document Parsing RAG Pipeline Structure-aware chunking, KnowledgeAtom 2-level indexing, sliding-window context enrichment, mtime parse cache Ultra-Fast Vectors ","default_branch":null,"files":null,"tree":[],"storefront":"/r/flamehaven01","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/flamehaven01/Flamehaven-Filesearch/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."}