AI chatbot that reads charts and tables in your documents

Ask a question and the chatbot finds the right document page, reads its charts and tables, and answers you.

How the work actually flows

A straight line. Runs once per one per relevant page found.

Pattern: Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(("user asks a question")):::human s0["search document page images"]:::svc s1[["vision ai reads charts and tables"]]:::mi s2["answer the question"]:::task trig --> s0 s0 -->|"one per one per relevant page found"| s1 s1 --> s2 out[/"direct answer citing document visuals"/]:::out pay{{"fast answers from charts and tables"}}:::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
A stepAn outside serviceRuns once per itemA personResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGDocument Processing & OCR
Connects
CohereQdrant

The problem it solves

Important information often lives in charts, graphs, and tables buried inside long reports, not in the text. Searching for one number or trend means flipping through pages by hand, and a normal text-search chatbot can't see the pictures at all.

Who it fits

Teams who need quick answers from image-heavy reports like technology, financial, or research documents.

How it works

  1. You ask the chatbot a question
  2. It searches document page images to find the ones most relevant to your question
  3. A vision AI reads the charts, graphs, or tables on those pages
  4. It answers your question directly, referencing what it found
What you get

Answers pulled straight from the data

You can ask a question and get an answer pulled directly from the charts and tables inside your documents.

What you get

A direct answer to your question, drawn from the actual charts and tables in your documents.

What you need

A Cohere account and a vector database 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

Related automations

Give your AI chatbot memory that lasts across every session

Your AI chatbot remembers past conversations and preferences, so customers never have to repeat themselves.

Advanced

Answer policy questions automatically from your PDF documents

Reads your PDF policies into a searchable knowledge base and answers questions with cited sources.

Advanced

Recommend products to customers with an AI chat assistant

An AI chat assistant searches your product catalog and instantly recommends the best matches to each customer.

Advanced

Turn your documents into a searchable AI knowledge assistant

Upload PDFs, images, or web links and get an AI chatbot that answers questions only from your own documents.

Advanced
Back to the AI Playbook