Chat with your own documents using an AI search assistant

Loads your documents into a searchable AI system so you can ask questions and get answers pulled from your own content.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig[\"documents provided for indexing"\]:::trigdata s0[("chunk and store documents")]:::store s1(("ask a question")):::human s2["search stored content"]:::svc s3["return grounded answer"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"accurate answer from own documents"/]:::out pay{{"faster access to team knowledge"}}:::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
Starts itA stepAn outside serviceA personA record or sheetResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGWeb Scraping & Data Collection
Connects
MilvusOpenAI

The problem it solves

Your team's knowledge is buried across long documents nobody has time to reread, so the same questions get asked over and over. Finding the right passage often takes longer than just guessing the answer.

Who it fits

Teams or knowledge-based businesses who want fast, accurate answers pulled from their own written material.

How it works

  1. You provide the documents you want searchable
  2. The system breaks the text into pieces and stores it as searchable data in Milvus
  3. You ask a question in a chat window
  4. AI searches the stored content and finds the most relevant passages
  5. You receive an answer grounded in your own material
What you get

Answers grounded in your own material

You get accurate answers pulled straight from your own documents whenever you or your team have a question.

What you get

Instant, accurate answers to questions about your own documents.

What you need

An OpenAI API key and a Milvus vector database.

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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