AI assistant that finds the right resource from a content library

Answers questions in chat by searching your library of resources for the closest match, not just keyword hits.

How the work actually flows

A straight line. Runs once per each resource in library.

Pattern: Sequence (1) ยท Multiple Instances without Synchronization (12)

flowchart TD trig[\"resources added to library"\]:::trigdata s0["collect and process resources"]:::task s1[["convert to searchable format"]]:::mi s2[("store in database")]:::store s3["answer question with matches"]:::task s4["explain and link recommendation"]:::task trig --> s0 s0 -->|"one per each resource in library"| s1 s1 --> s2 s2 --> s3 s3 --> s4 out[/"chat reply with matched resources"/]:::out pay{{"visitors find right resource instantly"}}:::pay s4 --> 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 stepRuns once per itemA 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 & RAG
Connects
Google GeminiQdrant

The problem it solves

You have a large library of guides, templates, or resources, but finding the right one means scrolling and guessing at keywords. You end up either settling for something close enough or giving up the search entirely.

Who it fits

Teams or platforms with a large resource library who want visitors to find what they need through a simple chat.

How it works

  1. Collects your resources and processes their content
  2. Converts each resource into a searchable AI format
  3. Stores everything in a searchable database
  4. Answers chat questions by finding the closest matching resources
  5. Explains why each recommendation fits and links to it
What you get

The right resource found without searching

You get visitors matched to the exact resource that answers their question, pulled from your library and explained in plain language, through a simple chat.

What you get

A chat reply recommending the most relevant resources with explanations.

What you need

A Google Gemini API key and a Qdrant 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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