Case study

Vantage

One project taken apart. From an uploaded file to an answer with its source attached.

  1. Document
  2. Question
  3. Answer
  4. Source
  1. 01

    A document arrives

    You drop in the file exactly as you have it: PDF, DOCX, plain text, no converting, cleaning, or fixing anything first. Even Polish characters, which trip up other tools across three different encodings, just work here.

    utf-8 → cp1250 → iso-8859-2

  2. 02

    An index is built

    Content goes into a vector store that survives a server restart. Upload a document once and it stays; no re-uploading for every conversation.

    ChromaDB · persistent storage

  3. 03

    The work gets done for you

    Instead of guessing, you get a concrete result on demand: a summary, extracted dates, key points, reformatted text — one command, no digging through the file yourself.

    DocumentMCP · FastMCP

  4. 04

    The answer comes back sourced

    Streamed as it is written and anchored in a specific passage, so you can check where it came from.

    FastAPI · StreamingResponse

Why you can deploy this without worry

  • Only your people get access — authentication on every endpoint
  • No one can flood the system with requests — rate limiting
  • Conversation history is saved, not lost when a tab closes
  • Ready to deploy on your own infrastructure — container image

Got a pile of documents nobody wants to face?

Or a process that could be handed to a machine? Write to me and we will scope it. I am building a body of deployed work and taking on first projects — I will tell you plainly whether it is worth building, instead of pushing something you don't need.

Get in touch