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RiverPointWeb & App

Artificial Intelligence

Document & RAG Systems

Ask questions of your own documents, and get answers with sources rather than confident invention.

The short version

Retrieval-augmented generation is the difference between a model that sounds plausible and one that can show you the paragraph it got the answer from.

We build systems where every answer cites its source, unsupported claims are flagged, and content can be versioned and approved before it becomes answerable.

What is included

Scope, plainly

Ingestion

PDFs, spreadsheets, sites and internal documents, indexed with versions.

Cited answers

Every response linked to the source it came from.

Approval workflow

Control over which documents are authoritative and from when.

Search

Semantic search across everything your team has written.

Let’s talk about yours

Describe it in a paragraph. You will get a straight answer on scope, timeline and whether we are the right people for it.