Flamehaven-Filesearch is a self-hosted retrieval-augmented generation (RAG) search engine designed for teams that require secure, private document search and rapid deployment. It addresses the need for organizations to search and retrieve information from sensitive documents without relying on third-party SaaS solutions, thereby maintaining operational security and data privacy. The platform is built for production use and can be deployed in minutes, catering to environments where fast, reliable access to source-grounded answers is critical.
The tool supports hybrid retrieval methods, combining BM25 with other retrieval techniques to enhance search accuracy and relevance. Flamehaven-Filesearch is capable of parsing and searching across 34 different file formats, making it adaptable to a variety of document types. It offers multi-LLM support, including compatibility with Gemini, OpenAI, Claude, and Ollama, allowing teams to leverage different large language models according to their needs. Security features are emphasized, with API key hashing using SHA256 with salt, per-key rate limiting, a granular permission system, audit logging for complete request histories, and OWASP security headers enabled by default.
Deployment is streamlined, with a recommended Docker-based setup enabling production-ready operation in as little as three minutes. The platform is open-source, written primarily in Python, and released under the MIT License. Flamehaven-Filesearch integrates with frameworks such as LangChain and LlamaIndex through lazily imported SDKs, so users can install only the dependencies they require. Documentation, installation guides, and usage notes are provided through the project's repository.
Flamehaven-Filesearch is positioned as a governance-first solution for B2B teams operating in high-stakes environments where verification and delivery are paramount. Its combination of hybrid retrieval, multi-LLM support, and robust security features makes it suitable for organizations prioritizing both search capability and data protection.
Flamehaven-Filesearch sits in PulseGate's RAG, search & retrieval category. It enables secure, private, and fast retrieval-augmented generation (RAG) search over internal documents without relying on third-party SaaS. Flamehaven-Filesearch is an open-source project aimed at engineering teams and enterprises with sensitive documents. The project is open source (MIT). Flamehaven-Filesearch is available on the web and the command line, and it can be self-hosted.
Flamehaven builds and maintains Flamehaven-Filesearch, and the product first shipped in 2025. The project is developed in the open on GitHub with 105 stars and 44 commits in the last 90 days. Among its 7 catalogued features are self-hosted deployment, hybrid retrieval, and multi-LLM support.
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