FLAMEHAVEN FileSearch
Overview
Self-hosted RAG file search engine (FastAPI) with keyword/semantic/hybrid modes, citations, API keys, and Docker quickstart.
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FLAMEHAVEN FileSearch is an open-source, self-hosted RAG document search engine you can run locally (Docker or Python). It supports multi-format ingestion (PDF, DOCX, TXT, MD) and provides keyword, semantic, and hybrid search modes (with typo correction). Results include source attribution, and the API includes production features like API-key authentication with permissions, rate limiting, audit logging, batch search, and an admin dashboard. It integrates with Google Gemini (via GEMINI_API_KEY) and supports a lightweight local store plus optional components such as Redis caching and Postgres/pgvector for higher-performance deployments.
Autonomy level
16/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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Some of the use cases of FLAMEHAVEN FileSearch:
- Self-hosting private semantic search over internal documents without sending data to third parties.
- Adding RAG-style retrieval (with citations/source links) to apps via REST API or Python SDK.
- Indexing and searching PDFs/DOCX/TXT/Markdown using keyword, semantic, or hybrid modes.
- Running a production-ready search service with API keys, quotas, audit logs, and monitoring endpoints.
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Popularity level: 53%
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Your AI agent for enterprise document-search delivery.
Exploring FLAMEHAVEN FileSearch? For enterprise search implementation consultancies, your own AI agent can connect searchable sources, improve retrieval relevance, and deliver search rollouts. Start with a setup tailored to this work.
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