Find answers in your documents.

The problem

Large collections of manuals, SOPs and training documents are searchable in theory but expensive to navigate in practice. Generic "chat with your file" tools handle simple questions, but real use needs stronger evidence handling, document boundaries, retrieval control, multilingual access and private source policies.

The objective

A reusable knowledge layer: retrieve the most relevant evidence, synthesise only what the sources support, and let the user inspect the exact excerpt used, so the answer can be trusted, not just read.

What the live demo proves

• Cross-manual retrieval across a real 666-page corpus.
• Persian questions over English sources, with Persian answers and the original English evidence kept for verification.
• Page-level citations and inspectable excerpts.
• Conservative behaviour when the corpus doesn't support a claim.
• Original PDFs stay outside the public download surface.
• Production deployment with health checks, rate limits, HTTPS and restricted endpoints.

Where it fits

The same engine supports isolated libraries for technical manuals, internal SOPs, engineering knowledge, training material and private company documentation, with per-library permissions, retrieval policies and usage limits. For an industrial team, it means the answer to "what's the torque spec?" or "what does the standard require?" in seconds, with the page to prove it.