How to Use Zibri's Document Intelligence Feature

By Finn

Executive Summary

Document Intelligence lets Zibri users upload PDFs, research papers, and reports, then ask natural-language questions and get answers sourced directly from those files. Every response is grounded in the user's actual uploaded content — Zibri uses Retrieval-Augmented Generation (RAG) to trace each answer back to the document it came from, so there is no hallucination. The result is a personal, searchable knowledge base that grows with you. A 30-day free trial with full Pro access requires no credit card to start.

Introduction: What is Document Intelligence in Zibri?

Most of us have a graveyard of PDFs. Research papers downloaded and never revisited. Client reports that took weeks to produce, now buried in a folder somewhere. Documents that hold real value but are effectively inaccessible because searching through them manually takes too long.

Document Intelligence is Zibri's answer to that problem. It lets you upload PDFs, research papers, and reports into your personal vault, then chat with them to extract insights and build a proprietary knowledge base. The documents stop being static files. They become something you can actually query.

This matters because the knowledge is already yours — Document Intelligence just makes it usable.

How It Works: Upload, Search, and Chat

The workflow has three steps, and none of them require technical setup.

Upload. Add your PDFs, research papers, or reports directly to your Zibri vault. Once uploaded, Zibri indexes the content so it becomes part of your personal knowledge base.

Ask. Type a natural-language question — the same way you would ask a colleague. Zibri retrieves the most relevant content from your uploaded documents and generates a response. You are not running a keyword search. You are having a conversation with your files.

Extract and build. The insights you surface through those conversations don't disappear. They connect to the rest of your vault — alongside your notes and voice captures — so your knowledge base compounds over time rather than staying siloed by file type.

The interface is designed for knowledge workers, not engineers. If you can type a question, you can use Document Intelligence.

Sourced Answers and RAG: Why Zibri Doesn't Hallucinate

This is worth understanding, because it addresses the most common complaint about AI tools: they make things up.

Zibri uses Retrieval-Augmented Generation — RAG — to generate every response. When you ask a question, Zibri retrieves the relevant segments from your actual uploaded content first, then builds the answer from those segments. Each response shows which notes or documents it drew from.

The practical consequence: Zibri does not hallucinate facts. It is not drawing on generic internet data or filling gaps with plausible-sounding fabrications. The answer is grounded in what you uploaded. If the information is not in your vault, Zibri will not invent it.

For researchers and consultants especially, this matters. You need to trust the output. Sourced answers give you that trust, because you can trace every claim back to its origin.

Use Cases for Researchers, Writers, and Consultants

Document Intelligence is broadly useful, but three roles get the most immediate value from it.

Researchers can upload literature, papers, and reference documents, then query across all of them at once. Instead of re-reading a paper to find a specific argument, you ask for it. Zibri surfaces the relevant passage and tells you which document it came from. Organizing research and outlining projects becomes significantly faster when your source material is queryable rather than static.

Writers can build a reference layer from their own collected materials — interviews, background reading, prior drafts — and pull from it while they work. The feature also helps surface connections between documents that might not be obvious when the files are sitting in separate folders.

Consultants can upload client reports, meeting notes, and industry research, then build a searchable knowledge base that persists across engagements. Instead of starting from scratch each time, you query what you already know. That accumulated knowledge becomes a real asset rather than an archive you rarely touch.

In each case, the core benefit is the same: you stop losing insights that you already paid to generate.

Getting Started: Free Trial and Plans

Zibri offers a 30-day free trial with full Pro access. No credit card required. That is enough time to upload your existing documents, run real queries, and decide whether the feature fits your workflow before you spend anything.

After the trial, two plans are available:

• Personal — $9/month: 5 GB storage, 500 AI queries per month, voice transcription, and unlimited vaults.
• Pro — $19/month: 20 GB storage, 3,000 AI queries per month, and priority email support.

For most individual knowledge workers, the Personal plan covers day-to-day use. Researchers or consultants managing larger document libraries, or anyone running high query volumes, will find the Pro plan's limits more comfortable.

The free trial starts at zibri.ai — no setup friction, no commitment.

Conclusion

Document Intelligence solves a specific, real problem: you have valuable knowledge locked in files you cannot easily search or query. Zibri unlocks it by letting you upload those files, ask questions in plain language, and get sourced answers traced back to your own material.

The RAG-backed approach means you can trust the output. The integration with your broader vault means the value compounds as you add more. And the free trial means there is no reason to wait.

If you have a folder of PDFs you keep meaning to revisit, this is a good place to start.