Build a smarter AI knowledge base from your documents automatically

Documents are automatically split, given context, and stored so your AI assistant gives more accurate answers.

How the work actually flows

A straight line. Runs once per one per document section.

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

flowchart TD trig[\"new document added to Drive"\]:::trigdata s0["extract document text"]:::task s1[["split into sections"]]:::mi s2["add context to each section"]:::svc s3["generate embeddings"]:::svc s4[("store in Pinecone database")]:::store trig --> s0 s0 -->|"one per one per document section"| s1 s1 --> s2 s2 --> s3 s3 --> s4 out[/"context-rich searchable knowledge base"/]:::out pay{{"more accurate reliable AI answers"}}:::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 stepAn outside serviceRuns 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 SystemsKnowledge Base & RAGDocument Processing & OCRFile & Cloud Storage
Connects
Google DrivePineconeOpenRouterGoogle Gemini

The problem it solves

When you build an AI assistant on your own documents, answers can be vague or miss context because files get chopped into disconnected pieces. Your team ends up with a chatbot that gives fuzzy or wrong answers because it lost the bigger picture. You want AI answers that are actually reliable enough to trust.

Who it fits

A business building an AI-powered search or chatbot on top of its own documents.

How it works

  1. A document is pulled from Google Drive and its text is extracted
  2. The text is split into meaningful sections with clear boundaries
  3. AI writes short context notes into each section so it still makes sense on its own
  4. Each section is converted into a searchable numerical fingerprint
  5. The enriched sections are stored in a Pinecone database ready for accurate AI search
What you get

Search results that actually match the question

You get your documents organized and indexed so any AI assistant built on top of them gives sharper, more accurate answers.

What you get

A context-rich, searchable knowledge base that powers more accurate AI answers.

What you need

A Google Drive account, an OpenRouter API key, a Google Gemini API key, and a Pinecone 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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