The opportunity is in the workflow
A document assistant becomes useful when it answers a specific team's recurring questions. Choose one narrow use case: onboarding a new colleague, finding a product policy, or locating a maintenance instruction. Before building, collect the questions people ask today and record the source that should answer each one.
A foundation, not the finished business
AnythingLLM provides an application for working with documents and language models. Its repository uses the MIT license. That gives you a code foundation; the customer-facing value still comes from onboarding, a clean knowledge collection, evaluation, and support. Check the separate terms of any models and data you add.
Test three things before a pilot
First, does the system retrieve the right source? Second, does the answer accurately reflect that source? Third, can the right person access it while another person cannot? Include questions with no answer in the collection. An honest 'I could not find that' is a useful result. Measure these separately so an attractive response does not hide a retrieval failure.
Your first commercial experiment
Offer a small pilot to one team. Agree a question set, a quality target, and a limit on usage. Track onboarding time, the number of correct answers, and ongoing support effort. These give you evidence for packaging and pricing. A popular repository does not establish willingness to pay; a useful pilot does.
Explore the project foundation
Primary sources
Editorial guidance based on linked sources. Business examples are hypotheses for validation; no performance or revenue outcome is claimed.