AI search over your company documents, with answers that show their sources
APPSOLN builds AI search (often called RAG) that answers staff and customer questions from your own documents, shows where each answer came from, and respects access rules.
In plain words
AI document search, often called RAG (retrieval-augmented generation), lets people ask a question in plain words and get an answer taken from your own documents, with a link to the source so they can check it.
For small businesses
A small business might use AI search so staff can find policies, prices, or procedures instantly, or so customers get answers from its help articles.
For larger companies
A large company might use AI search across its intranet, policies, and past tickets, with answers limited to what each employee is allowed to see.
A good fit for
- Staff repeatedly asking the same questions
- Large collections of policies, manuals, or help articles
- Customer support teams searching for answers
Works well with
- Large language models
- PostgreSQL (pgvector)
- SharePoint
- Google Drive
- Confluence
- Python
Common questions
Will it make up answers?
It is designed to answer only from your documents and show the source. When it cannot find a good answer, it says so and hands off to a person.
Related pages
AI Document Search (RAG) work is part of our ai integration service.
Have a project that uses AI Document Search (RAG)?
Tell us what you want to build or fix. A few lines is enough to get a clear answer on what it would take.