Business owners often ask: "Why is the assistant giving inaccurate answers?"
In 80% of cases, the problem isn't the AI, but the documents themselves – incorrect format, scans without text recognition, outdated files, or chaotic structure.
Below is a step-by-step breakdown of how to prepare documents correctly, with examples for specific niches and a checklist for verification.
⚡ In a Nutshell
- 📄 Best Formats: Text-based PDF, DOCX, TXT, CSV – AI reads text, not images
- ⚠️ Biggest Mistake: Scans without OCR – the assistant can't see them
- 🏗️ Structure Matters: Headings and sections improve answer accuracy by 40–70%
- 🚀 Enough to Start: 10–30 documents on your core topic
- 🔄 Updates: Upload a new file – the assistant instantly knows the latest information
- 👇 Details, niche examples, and a checklist follow
📚 Table of Contents
🎯 Section 1. Which Documents Yield the Best Results
Documents with specific facts, a clear structure, and up-to-date information perform best. Generic "about the company" texts or marketing descriptions offer almost no value.
From our experience at AskYourDocs: clients who upload specific operational documents achieve 85–95% answer accuracy. Those who upload a general "business description" get 40–60%.
An AI assistant working with documents operates on the principle: find the relevant snippet in the knowledge base and answer based on it. The more specific and structured the document, the more accurate the answer. It's like the difference between a reference book and a promotional brochure: the former answers questions, the latter talks about benefits.
Documents That Yield the Best Results
- ✔️ Procedures and Regulations – step-by-step instructions with specific actions ("if a customer asks about returns – do A, B, C")
- ✔️ FAQs and Answers to Common Questions – the best format for customer service
- ✔️ Contracts and Terms of Service – specific clauses and figures
- ✔️ Price Lists and Product Specifications – structured data with characteristics
- ✔️ Internal Employee Instructions – cut onboarding time in half
- ✔️ Regulatory Documents and Standards – for legal, medical, and manufacturing companies
Why Ignoring This Costs Money
A poor knowledge base doesn't just mean inaccurate answers. It erodes customer trust and wastes employee time. If the assistant answers incorrectly, employees stop using it and revert to manual searches. An implementation costing $500 becomes a wasted investment.
In summary: upload operational documents with specific facts, not marketing texts with general descriptions.
📌 Section 2. Supported File Formats
AskYourDocs supports PDF, DOCX, TXT, CSV, XLSX, and other text-based formats. The keyword is "text-based." If a file contains text that can be highlighted and copied, it's suitable.
The key takeaway is: AskYourDocs reads text, not images. The file format is important, but even more critical is whether it has a genuine text layer.
| Format |
Support |
Notes |
| PDF (Text-based) |
✅ Excellent |
Most common format for documents |
| DOCX (Word) |
✅ Excellent |
Preserves heading structure |
| TXT |
✅ Excellent |
Ideal for FAQs and simple instructions |
| CSV / XLSX |
✅ Good |
Price lists, characteristic tables |
| PDF (Scan) |
⚠️ Requires OCR |
Convert using OCR first |
| JPG / PNG |
❌ Not suitable |
Images of text are not text |
| PPT / PPTX |
⚠️ Limited |
Only if text is not embedded as images |
A practical rule from our team: open the file and try to select text with your cursor. If it selects, the format is suitable. If not, OCR processing or conversion is needed.
⚠️ If you have many scans, read our detailed case study:
Why Your AI Can't Read Your Scan – And How We Solved It
In summary: any format is suitable if it contains a genuine text layer, not just an image of text.
🔍 How AI Sees Your Document
Understanding this principle explains why document structure is so crucial.
User Question
💬 What are the return conditions?
↓
AI breaks the document into chunks
chunk_1 — Delivery terms...
chunk_2 — Return conditions...
chunk_3 — Warranties...
↓
Finds the most relevant chunk
✅ chunk_2 — Return Conditions
↓
Generates an answer based on the chunk
🤖 "Product returns are possible within 14 days..."
Conclusion: if the document is a continuous block of text without headings, the AI doesn't know where "Delivery" ends and "Returns" begins. The result is a vague or inaccurate response.
📊 Section 3. Scans and Photos: How to Prepare with OCR
A scan is a photograph of a document. The AI sees an image but cannot read the text within it. Solution: OCR conversion in 1–2 minutes transforms a scan into a text-based PDF.
This is the most common mistake we see during implementation. A client uploads 200 documents, half of which are scans. The assistant "sees" only the other half and answers only a portion of the questions. The owner decides the AI doesn't work – when in reality, OCR processing is all that's needed.
OCR (Optical Character Recognition) is a technology for recognizing text in images. It converts a scanned page into a true text file that the AI can read and index.
Free Tools for OCR Conversion
- ✔️ PDF24 OCR – free, online, no registration required. Upload a scan, get a text-based PDF in 1–2 minutes.
- ✔️ iLovePDF OCR – supports Ukrainian and other languages.
- ✔️ Adobe Acrobat – if you have a subscription, its built-in OCR is high-quality.
- ✔️ Google Drive – upload a scan and open it in Google Docs: it will automatically recognize the text.
What to Consider During OCR Conversion
The quality of recognition depends on the scan quality. From our experience: documents scanned at 300 dpi or higher are recognized with virtually no errors. Photos taken with a phone in poor lighting conditions introduce many text errors and degrade the assistant's responses.
In summary: before uploading, check each PDF – can you select text within it? If not, 2 minutes of OCR will solve the problem.
💰 Section 4. How to Structure Documents for More Accurate AI Responses
Clear headings, logical sections, and specific phrasing improve answer accuracy by 40–70%. According to AWS Prescriptive Guidance, structured documents yield significantly better results in RAG systems than unstructured ones.
An AI assistant breaks down your document into chunks and searches for the most relevant one to the question. If a document is a continuous block of text without headings, the system doesn't know where one topic ends and another begins. The result is vague, inaccurate answers.
Structuring Rules for Best Results
Use headings and subheadings. Each section of a document should have a clear heading describing its content. For example, instead of a single block of text for "Delivery and Return Conditions," create two separate sections: "Delivery Conditions" and "Return Conditions."
One document – one topic. It's better to have 10 short, thematic documents than one large 50-page document. For example, instead of a "Comprehensive Company Guide," create separate files: "Leave Policy," "Expense Approval Procedure," "Customer Interaction Guidelines."
Provide context at the beginning of a section. Start each section with a brief explanation of its topic. As recommended by AWS for RAG systems, a brief summary after the heading significantly improves search accuracy.
Expand abbreviations. The first time you use an abbreviation, spell it out fully. For example, write "Limited Liability Company (LLC)" the first time. The AI may not always know your company's internal abbreviations.
Example: Poor Document vs. Good Document
| ❌ Poor Document |
✅ Good Document |
Delivery, Return, and Warranty Conditions
Our company delivers across Ukraine. Delivery cost depends on the region. Product returns are possible within 14 days. All products have a 12-month warranty. In case of defects, contact customer support...
(10 pages of continuous text)
|
# Delivery
Delivery across Ukraine. Cost depends on the region.
# Returns
Product returns within 14 days of receipt.
# Warranty
12-month warranty on all products. For defects – contact support.
|
| AI doesn't know where "Delivery" ends and "Returns" begins – finds a random snippet. |
AI accurately finds the required section and provides a precise answer. |
From my experience implementing AskYourDocs: the most common reason for inaccurate answers isn't the model or technology, but the documents. When a client says "The AI is answering incorrectly," in 7 out of 10 cases, the problem is solved within an hour: we break down large documents into thematic sections and add headings. After this, answer accuracy improves noticeably – sometimes doubling. Document structure isn't a formality; it's a direct investment in the quality of your assistant.
In summary: 1 hour spent structuring documents saves weeks of frustration from inaccurate answers.
⚠️ Section 5. What Not to Upload and Why
Do not upload outdated documents, duplicates, scans without OCR, files with client personal data without anonymization, or general marketing texts. They will either be useless or create problems.
❌ What Not to Upload
Outdated Document Versions. If you have a price list from 2023 and one from 2026, upload only the current one. If both are in the knowledge base, the assistant might provide outdated pricing. In our experience, this is one of the most frequent causes of complaints about "incorrect answers."
Duplicates and Near-Identical Versions. Three versions of the same contract with minor differences will confuse the assistant. Keep only the current version and remove the others.
Scans without OCR Processing. Detailed in Section 3. In short: the assistant cannot read them.
Client Personal Data Without Anonymization. If your documents contain personal names, addresses, passport details, or medical information of specific individuals – either anonymize it before uploading or do not upload it. This applies to GDPR and Ukrainian personal data protection laws.
Passwords, Access Keys, Financial Details. Even if your server is secured, it's best not to include internal documents with passwords or bank account details in the assistant's knowledge base.
Presentations with Text as Images. If the text in a PowerPoint file is drawn on the slide as an image, the assistant cannot read it. Check it the same way as PDFs: can you select the text with your cursor?
In summary: a knowledge base is not an archive of everything you have. It's a current, clean, and structured collection of operational documents.
💼 Section 6. Niche Examples: Legal, Medical, E-commerce
Different businesses upload different documents – but the principle is the same:
specific operational materials, not general descriptions.
| Niche |
What to Upload |
Typical Result |
| Law Firm |
Standard contracts, regulations, governing acts, internal templates, client FAQs |
Finding a specific clause takes seconds instead of 15–20 minutes of manual review |
| Medical Center |
Preparation for tests, doctor schedules, service price lists, insurance terms, patient FAQs |
Some routine calls are handled by the assistant – freeing up administrators for more complex inquiries |
| Online Store |
Delivery, return, and warranty conditions, product specifications, buyer FAQs |
Customers get answers after 6 PM without manager intervention, reducing support workload |
| Manufacturing Company |
Technical regulations, safety instructions, product specifications, quality standards |
New employees find answers independently – speeding up onboarding |
| Educational Center |
Course programs, schedules, tuition terms, prospective student FAQs, center rules |
Managers spend less time on repetitive questions and more on complex inquiries |
In summary: start with documents that answer 80%
of the recurring questions in your business – these will yield the greatest impact.
🏆 Section 7. How Many Documents Are Needed to Start
10–30 high-quality documents on your core topic are sufficient for a full launch. Fewer, but high-quality, documents are better than hundreds of poorly prepared files.
One of the most common misconceptions is: "the more documents, the better." In practice, it's the opposite. 500 bad documents yield worse results than 20 good ones. We recommend starting with a minimal set and expanding the knowledge base gradually.
Minimum Starter Set by Business Type
- ✔️ Customer Service: FAQs (20–50 questions), service terms, price lists – this alone will cover 70% of inquiries.
- ✔️ Internal Knowledge Base: 5–10 key regulations and instructions for the team.
- ✔️ Legal or Medical Company: 20–30 most frequently used documents.
How to Expand the Knowledge Base After Launch
After launch, review query logs weekly. Questions the assistant couldn't answer are a signal that a new document is needed. This way, the knowledge base grows organically based on actual needs, not just "upload everything we have."
In summary: start with the 10–30 most important documents and add new ones based on real inquiries.
📌 Section 8. How to Update the Knowledge Base Without Re-launching
Short Answer:
Upload a new or updated file via the admin panel – the assistant instantly has access to the current data. No re-launch, no programmer, no delays.
This is one of the key advantages of AskYourDocs compared to custom solutions. In traditional systems, updating the knowledge base is a separate technical process involving developers, testing, and deployment. With us, it's as simple as uploading a file, similar to Google Drive.
How to Correctly Update Documents
- ✔️ Price or terms changed – upload the new file and delete the old one.
- ✔️ Contract terms updated – replace the document in the admin panel.
- ✔️ A new product is launched – add its specification or FAQ.
- ✔️ Regulations have changed – update the relevant file.
Recommended Update Cadence
| Trigger |
Action |
Time |
| Price or terms change |
Replace file immediately |
5 minutes |
| New product or service |
Add specification or FAQ |
15–30 minutes |
| Once a month |
Review query logs, identify unanswered questions, add documents |
1–2 hours |
| Once a quarter |
Full knowledge base audit – remove outdated files, update structure |
2–4 hours |
From my experience: clients who conduct a monthly audit of their logs achieve noticeably better results within 2–3 months after launch. Logs show the real questions your users are asking – and these are precisely what indicate which documents to add next. This is the most effective way to grow your knowledge base: not guesswork, but real data.
In summary: a knowledge base is a living tool, not an archive. Regular small updates yield better results than infrequent bulk uploads.
❓ Frequently Asked Questions
Can documents in different languages be uploaded?
Yes. AskYourDocs supports multilingual knowledge bases: Ukrainian, English,
Polish, and other languages within a single knowledge base. The assistant responds in the language the question is asked. We can also customize the model for your specific language and niche terminology – so the assistant understands industry terms, abbreviations, and phrasing unique to your business.
What if I only have documents in paper form?
Scan them and process them using OCR (Section 3 of this article). For small volumes, free PDF24 OCR is suitable. For large archives, we recommend Adobe Acrobat or Google Drive.
Personally, on Mac, I use Pegas – a free app from the App Store that recognizes text directly on the computer without uploading files online. It's especially convenient for confidential documents: scans are processed locally and not transmitted anywhere. For one-time conversion of 10–20 documents, it's the fastest option.
Is there a limit to the size of a single file?
The recommended size for a single document is up to 50 MB. For larger files, we advise breaking them into logical parts – this not only resolves technical limitations but also improves answer quality (smaller document = more precise search).
What if a document contains tables or diagrams?
Text within tables is read well if the table is created in Word or PDF as a true table. Diagrams and charts are images, so their textual content is not read by the AI. If a diagram contains important information – duplicate it as text within the document.
How long does document preparation take?
To get started: 2–4 hours to prepare 20–30 documents. This includes checking formats, OCR processing of scans, and basic structuring. If documents are already in order, it might take less than an hour.
Do I need to remove confidential information from documents?
If you choose a self-hosted model – documents are stored only on your server and are not transferred anywhere. However, we recommend not uploading documents containing personal client data (names, passports, medical records) – this is a requirement of GDPR and common sense.
✅ Document Preparation Checklist
Before uploading, go through this list – it saves time and prevents 90% of common issues:
- ☐ Gathered all documents in one folder
- ☐ Checked each PDF: can text be selected with the cursor?
- ☐ Scans without text – processed via OCR
- ☐ Removed outdated document versions
- ☐ Removed duplicates
- ☐ Large documents split into thematic parts
- ☐ Verified that documents have headings and structure
- ☐ Removed or anonymized client personal data
- ☐ Removed passwords and financial details
- ☐ Prepared 20–30 test questions for verification after upload
Key takeaway: the quality of AI assistant answers depends 80% on the quality of the documents – and 2–4 hours of preparation pay off with months of accurate and useful responses.
🚀 Test Your Documents for Free
Send 2–3 documents – and in 30 minutes, I'll give you a live demo showing how the AI answers based on your files and what can be improved. No registration. No obligations.
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