AI development and chatbots · delivered in 5-21 days
Customers and staff often ask questions your own files already answer, yet a generic chatbot will guess rather than admit it doesn't know. We build you a chatbot that searches your documents first and answers strictly from what it finds, pointing to the exact file and page or section, and flagging clearly when nothing relevant exists.
Your answers are usually already written down somewhere: policies, manuals, price sheets, contracts, help articles. We build a chatbot that reads those files first and replies only from what it locates there, naming the file and page or section behind each reply. If the material doesn't cover a question, the bot says so rather than inventing something.
Each package closes with a check against up to 20 of your own questions. You receive a table showing every answer, the source behind it and whether it was correct; from there we apply one round of corrections and rerun the test. You keep the source code outright, and the assistant operates through your own account with your chosen AI provider, so usage appears directly on their invoice and we charge no ongoing fee.
Search is handled by a compact model running alongside the bot, with the index stored in PostgreSQL using pgvector, meaning your documents are not sent to the AI provider, and any Postgres or Supabase setup needs no separate vector database. Recent example work includes building the vector search layer for a live Supabase backend used by an election trading desk, featuring filtered similarity search, access limited to specific teams, and hourly summaries generated by the language model and reviewed before being saved.
For 14 days following delivery, we correct anything that does not match what was agreed, at no extra cost.
There are no calls involved. We agree the scope in writing before starting, and you receive a written progress note at the close of each working day.
Your order opens its own thread here the moment it is paid, and everything about that order - questions, changes and the final report - happens in it.
The bot replies only using passages it actually retrieves, naming the file and page or section each time. When nothing relevant is found, it tells you directly. The test run against your own questions lets you judge its accuracy before accepting the work.
We work with text-based PDFs, Word documents, plain text, Markdown and public web pages; scanned pages require the optional text recognition add-on. A single file covers up to 50 pages, or 25,000 words where there are no pages, and longer files are counted in blocks of 50 pages.
You cover these costs yourself: the bot runs under your own API key on a host registered to you, so no monthly charge applies to us. Starter includes instructions so you can run it; with Standard and Advanced we configure it on your hosting. Running costs depend on how much traffic it gets.
Yes, this is available with Advanced. Using PostgreSQL or Supabase, the search index sits inside your own database, with your access rules controlling which documents each user can see. If you use a different stack, get in touch before placing an order.
Search is powered by a small model that runs together with the bot, so your files never reach the AI provider; only the matching passages are sent per question. With Advanced, answers can instead come from a local model on your own server, provided it has sufficient memory.
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