flamehaven01 / Flamehaven-Filesearch
Self-hosted RAG search engine — 34 formats, BM25+hybrid search, multi-LLM (Gemini/OpenAI/Claude/Ollama), FastAPI + Docker, production-ready in 3 min
Why this job: says: rag; topics: rag, semantic-search, vector-search, knowledge-base, document-parsing, hybrid-search
What it does
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.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 109
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.6.4
- Released 5 months ago
- Built with
- Python
- 86% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 8 merged
- 0 waiting
- Releases
- 15
- 15 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- Python 86%
- HTML 14%
- Shell <1%
- Makefile <1%
Topics
- bm25
- crewai
- docker
- document-parsing
- document-search
- fastapi
- haystack
- hybrid-search
- knowledge-base
- langchain
- llamaindex
- llm
Project record
- JobRAG and search
- StatusListed
- Commits194
- Forks14
- Watching2
- Stars in 28 days0
- CreatedNov 11, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026