| Tired of RAG demos that only work in notebooks?
Flamehaven FileSearch is designed for real deployment —
a lightweight, production-ready document search engine that you can self-host in minutes. Key Highlights 5-minute setup — pip install flamehaven-filesearch[api]
100% self-hosted — your documents never leave your infra
Python SDK + REST API with FastAPI & Swagger UI
SQLite-backed store — simple, portable, and offline-friendly
Gemini-powered embeddings with natural language Q&A + citations
Docker-ready — works on a $5 VPS or your laptop Why it matters Unlike typical RAG stacks that require vector DBs, multiple APIs, and complex infra,
Flamehaven FileSearch runs cleanly on Python and SQLite — no dependencies, no vendor lock-in.
You own the data, the storage, and the intelligence. It’s built for teams, researchers, and indie developers who need
semantic search they can actually deploy and trust. Try it GitHub: https://github.com/flamehaven01/Flamehaven-Filesearch PyPI: flamehaven-filesearch
Docs: /docs after running the API server #opensource #python #AI #RAG #Gemini #FastAPI #Flamehaven #LLM #developer Security & Account Notice Recently, GitHub detected a suspicious login attempt on our organization account.
As a precaution, a password reset was enforced.
We are currently in contact with GitHub Security and awaiting resolution. This incident did not affect any public repositories such as
dir2md, flashrecord, crom-efficient, ARR-medic-cyp3a4, or Unstable Singularity Detector.
All builds remain verified and signed. We sincerely apologize for any inconvenience caused and appreciate your understanding as we complete the security audit. |
Key changes:
API Authentication & Authorization All protected endpoints now require Bearer tokens. API keys support fine-grained permissions (upload/search/stores/delete), per-key rate limits, auditing, and SHA256 hashing (plain keys are never stored).
Admin Dashboard A self-contained HTML/JS dashboard for managing API keys, inspecting request statistics, and viewing usage distribution. No external dependencies.
Batch Search API Added a high-throughput endpoint that processes 1–100 queries in either sequential or parallel mode. Includes per-query isolation, priority ordering, and detailed timing metrics.
Redis Cache Backend Optional distributed cache for multi-worker setups. Provides <10ms lookup latency, automatic fallback to local LRU, and ~40–60% reduction in LLM calls.
Deployment Support Includes working examples for Docker, Docker Compose, and Kubernetes (ConfigMap, Secret, Deployment). Meant to be runnable out of the box.
Performance highlights:
Cache hit: <10ms
Cache miss (LLM call): ~0.5–3s
Batch Search (10 queries): ~2–5s
GitHub: https://github.com/flamehaven01/Flamehaven-Filesearch
If anyone has feedback on security design, API ergonomics, or deployment structure, I’d really appreciate it. We’re planning v1.2.1 (admin auth improvements, Redis UI) and v1.3.0 (key rotation + OAuth2/OIDC), so suggestions are welcome.