Ask questions and get answers from your own documents with AI

Turns a document into a searchable knowledge base so you can ask questions and get accurate, sourced answers.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(("user points at document")):::human s0[("index document into vector store")]:::store s1(("ask question in chat")):::human s2["search document store"]:::svc s3["return sourced answer"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"chat answers from your documents"/]:::out pay{{"fast answers without manual search"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
An outside serviceA personA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Knowledge Base & RAGDocument Processing & OCR
Connects
Voyage AIMongoDB AtlasOpenAI

The problem it solves

You have long documents, reports, or research files that hold answers your team needs, but finding the right section takes forever. Skimming through pages just to answer one question wastes time you don't have.

Who it fits

A research team, analyst, or business that needs fast, reliable answers from long or technical documents.

How it works

  1. You point the system at a document you want to search
  2. The document is broken into sections and converted into a format AI can search
  3. The searchable version is stored in a database built for fast retrieval
  4. You ask a question in a chat window
  5. The AI searches the stored document and sends back an answer based on its actual content
What you get

Trustworthy answers pulled from your own documents

Turn a long or technical document into a searchable resource that gives you accurate, sourced answers to any question you ask.

What you get

A chat interface that answers questions using the content of your own documents.

What you need

A Voyage AI account, a MongoDB Atlas database, and an OpenAI account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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