Give your AI chatbot accurate answers from your own documents

Connects a chatbot to your stored documents so it answers questions using your real information, not guesses.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"chat question sent"]:::trig s0[("search documents for relevant info")]:::store s1["incorporate matched content"]:::task s2["reply with factual answer"]:::task trig --> s0 s0 --> s1 s1 --> s2 out[/"chatbot answer grounded in documents"/]:::out pay{{"accurate answers without hallucination"}}:::pay s2 --> 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 stepA record or sheetResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAG
Connects
GeminiChromaDB

The problem it solves

Generic chatbots make things up or give vague answers that do not reflect your business's actual policies, products, or documents. You end up correcting the bot constantly or telling customers to just call instead.

Who it fits

A business that wants an AI assistant to answer questions using its own documents, policies, or knowledge base.

How it works

  1. A customer or team member sends a question in chat
  2. The AI searches your stored documents for the most relevant information
  3. It pulls the matching content back into its answer
  4. The chatbot replies with a factual, context-specific response
What you get

Questions answered straight from your documents

Your chatbot pulls answers directly from your own documents so responses reflect your actual policies and information.

What you get

A chat reply grounded in your own documents instead of a generic AI guess.

What you need

A Gemini API key and a vector database to store your documents.

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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