Operations

AI Agent that Answers Questions from PDFs

Built for Operations Teams

Manually searching through PDFs to find a specific line or stat eats up hours you do not have. How do you get the right answer fast without opening every file?

This automation uses AI to scan large documents and return clear answers on demand. Just ask a question, and it pulls the relevant information from policies, contracts, or manuals. Built in n8n, it removes the need for scrolling or guessing and gives you fast, accurate responses every time.

Try this AI Agent now
Illustration showing Q&A automation benefits with 500–2,000 meetings per month and 90% less time wasted, featuring people searching for answers and a smiling woman pointing upwards.

What to Expect

Fully automated PDF and DOCX chat, built for teams who work with long internal docs.

Ask questions and get answers instantly with no scrolling, no CTRL+F.

n8n workflow for knowledge base chatbot, including Google Drive file download, data embedding with OpenAI, vector storage, and question-answering chain for user interactions.

Drop in a Google Drive link and the AI agent reads the whole file for you. It breaks the document into clean chunks, stores them temporarily, and lets you chat with it in plain English. Whether it’s an onboarding manual or a dense report, you get quick, direct answers pulled straight from the source.

It cuts through clutter so you can spend less time searching and more time moving.

The old way?
Done manually.

Here’s what the old process looked like:
Open the file and wait for it to load
Use Ctrl F and hope the term actually shows up
Scroll through pages you don’t need
Lose track of what you’ve already checked
Ask someone to confirm what you think you already read
You would re-read the same doc over and over just to find one line. It was a waste of time and focus.

The new way?
Fully automated.

With this automation, the entire process gets handled for you:
Upload a Drive link and let the agent scan it
Chat in plain English to find what you need
Skip the search, get direct answers pulled from source
Save time across onboarding, research, and compliance
Use with PDFs or DOCX files across any team
Your workflows stay clean, fast, and focused. No more hunting through pages.

Make Time for What Matters

Book a free automation audit and find out how no-code tools can take the load off your plate.

How the Automation Comes Together

The automation begins with n8n running the entire workflow while keeping all tools connected and working in sync.

Google Drive holds the source files, which are then passed into a vector store that breaks the content into searchable pieces.

OpenAI uses this structured content to answer your questions accurately using only the information found in the original file.
Workflow illustration showing user queries processed through n8n automation, with AI-powered idea generation, Google Drive document storage, and conversational response output.
AI Agent toolkit

Tools used to build this AI agent

n8n logo
n8n

Orchestrates the full workflow automation, from file intake to live chat interaction.

openai logo
OpenAI

Generates GPT-4-level responses based solely on the content pulled from your files.

google drive logo
Google Drive

Stores the uploaded knowledge files (PDFs, DOCX, and more) ready for processing.

What You'll Gain

90% less time wasted flipping through docs

Quickly find answers without skimming, scrolling, or searching page by page.

Ask one question, get one direct answer

No more Ctrl F or guessing where the answer might be.

No more compliance delays or onboarding back and forth

Teams get instant access to the right information at the right time.

Fully modular and easy to scale

Swap in new documents or extend features without rewriting the workflow.

Runs in under 30 seconds every time

It delivers answers before your team finishes their next coffee sip.

Cost Comparison with AI Agents

Here’s a quick overview to help assess monthly costs and workload volume for ongoing operations.
vs
AI Agent for PDF Lookups
Ranges from $50 to $120/month, covering OpenAI usage, n8n hosting, and vector memory.
Handles 500 to 2,000+ questions instantly, across any timezone.
Manual Document Support Staff
Ranges from $2,000 to $4,000/month, including salary and admin time.
Limited to 100 to 300 questions, depending on working hours.
We automate, you accelerate

We'll handle the tech so you don't have to.

You don’t need to set up or learn how automation works.
Our AI agents are built to run fully hands-off, like a clone that handles the repetitive tasks for you.

Need something custom? We’ll handle it all including:

What is prompt writing and optimization?

It is the process of crafting and refining instructions for AI so it understands the task, delivers accurate results, and formats the output exactly how you need it.
What we do exactly?
Understand your context and use case
Help optimize and rewrite your prompts
Test and refine outputs until it’s working perfectly

What is automation flow design and testing?

This is where we map out how your AI agent behaves: when it runs, what it checks, how it reacts, and what to do if something fails. We don’t just build it. We test it end to end.
What we do exactly?
Design the full logic and decision tree
Add fallback steps for edge cases
Run multiple rounds of testing before launch

What are tool integrations?

We connect your AI agent to the tools you already use. Email, spreadsheets, CRMs, databases, APIs, and more. Everything stays in sync without you needing to copy and paste a thing.
What we do exactly?
Identify which tools your agent needs to talk to
Set up reliable two-way connections
Ensure smooth data flow across systems

What is delivery setup?

Delivery setup means we make sure your AI’s output gets exactly where you need it. Whether that's your inbox, a Google Sheet, your Slack channel, or a CRM.
What we do exactly?
Configure where and how outputs get delivered
Format results so they’re ready to use
Schedule timing or triggers for delivery

What is ongoing maintenance and updates?

AI agents aren't set and forget. We handle updates to prompts, workflows, and integrations so your system keeps working as your needs change.
What we do exactly?
Monitor performance and catch issues early
Update logic, prompts, or tools as needed
Keep everything running behind the scenes

Let us handle it for you.

Just send us an email and tell us the task that is wasting your time and we’ll design the agent and run it in the background.

Or, enter your email and we'll send you how to get started.

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Frequently asked questions

We’ve covered the usual questions. Got a unique one? Send us an email

Can I use this with more than one document?

Absolutely. The setup can be extended to support multi-document search, organized by tags, folders, or roles. It scales.

Do I need to know LangChain or code to use this?

Not really. If you’ve ever set up a Zap, you’ll be fine. And if you’d rather not touch anything, we’ll help you set it up.

Does it keep anything after a session ends?

No. Everything resets after each run. Once the chat ends, the document data is cleared from memory, nothing is stored, nothing carried over.

Built to be Cloned

You can take this n8n setup, drop in your own files, and have a working document assistant up and running in no time. Whether you're dealing with policies, training manuals, or technical docs, it works across use cases without needing major changes.

If you're stuck answering the same questions or digging through the same file again and again, this lets you step out of that loop.

The agent’s already built. Copy it, adjust a few settings, and put it to work.

Need help getting it live? Just ask. Fill the form or Send us an email

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{ "automation_name": "AI Agent for PDF Question Answering", "type": "AI-Powered Document Q&A Workflow", "tech_stack": ["n8n", "OpenAI GPT-4", "Google Drive", "Google Docs"], "data_sources": ["PDFs", "DOCX files", "Uploaded long-form documents"], "output_format": ["Chat-based answers", "Structured Q&A logs", "Document references"], "prompt_style": "Retrieval-augmented generation (RAG) using contextual chunking and semantic search", "use_cases": [ "Ask questions directly from PDF and DOCX documents", "Extract precise answers from long internal documentation", "Support operations and onboarding teams with instant reference", "Eliminate the need for manual searching in static documents" ], "deployment": "Self-hosted on n8n using Google Drive triggers, GPT-powered lookup, and chunk-based indexing", "tags": ["PDF automation", "AI agent", "document search", "GPT-4", "n8n", "RAG", "operations support", "chat with files"] }