A chat assistant that answers from your own documents, with sources

Our RAG chatbot development gives your team an assistant that answers questions from your own contracts, SOPs and project files, and shows the source for every answer. We test it on real questions from your staff, host it where you choose, and hand it over with documentation.

What RAG means

RAG, short for retrieval-augmented generation, lets an AI assistant look up the right passages in your own documents before it answers. The reply is based on your files and shows where it came from, instead of relying on the model’s general knowledge.

That matters because a general chatbot will answer confidently even when it has never seen your documents. A RAG assistant is limited to what your files say. When it cannot find an answer, it says so, and when it does answer, staff can open the source page and check it themselves.

Where a RAG assistant helps

A RAG assistant helps wherever people spend time searching for answers that already exist in your files. Instead of asking a colleague or opening ten folders, staff ask a question and get the answer with the page it came from. These are common places to start.

How our RAG chatbot development works

We build in seven steps. We collect and clean your documents, index them, set up retrieval of the right passages, and generate answers with citations. Then we test the assistant on 50 to 100 real questions from your team, deploy it where you choose, and monitor it in use.

1. Collect and clean: gather the documents that matter and remove outdated versions.
2. Index: split documents into passages and store them so they can be searched.
3. Retrieve: find the passages most relevant to each question.
4. Answer with citations: write a reply based only on those passages, with links back to them.
5. Test: run 50 to 100 real questions from your team and check every answer.
6. Deploy: in your cloud account, on a server you control, or as a chat window your team can reach.
7. Monitor: review the questions it could not answer and update documents or settings.

Accuracy you can check

Every answer shows its sources, so staff can confirm it in seconds. When your documents do not contain an answer, the assistant says it does not know rather than guessing. We keep a test set of real questions and run it again after every change, so accuracy does not quietly drift.

Answers are only as good as the documents behind them. Part of the work is finding outdated or conflicting files, so the assistant is not answering from last year’s policy. Scanned documents get an extra reading step before they are indexed.

Privacy and hosting

Your documents stay under your control. The assistant runs where you choose: your own cloud account or a server you manage. Access follows your existing permissions, so people only get answers from files they are allowed to see. We do not train models on your data.

The assistant can run on its own or inside an internal tool your team already opens every day, built as part of our custom software for operations teams. When the questions are about numbers rather than documents, KPI reporting and dashboards are usually the better fit.

A RAG assistant answers questions. If you also want it to take actions, such as filing a request or updating a record, that is an AI agent. Property teams can use it for leases and maintenance history as part of real estate workflow automation, and contractors for specifications and contracts as part of construction workflow automation. For background, read what a RAG chatbot is and how it works.