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The knowledge upload playbook

Five source types, one knowledge base. Which to reach for, what Chat.co will and won't accept, and the content decisions that decide whether retrieval works at all.

8 min readUpdated August 2026

Key takeaways

  • Documents, Links, Text, Q&A and Audio are five separate screens under Knowledge Base
  • Uploads accept PDF, DOC, DOCX, XLS, XLSX, CSV and Markdown — not plain .txt
  • A crawl pauses so you can review discovered pages before anything is indexed
  • Q&A pairs are the lever for pinning an exact answer wording
  • Knowledge base size is metered in characters, not files or megabytes

Your agent is exactly as good as what it can retrieve. Most disappointing bots are not model problems — they are knowledge problems: the right document was never uploaded, or it was uploaded in a shape that retrieval cannot use. This is the playbook for getting that part right.

1. The five source types

Open a bot and look at the Knowledge Base group in the sidebar. Each entry is a genuinely different ingestion path, not five doors to the same box.

SourceUse it forAvoid it for
DocumentsFiles you already have — manuals, contracts, reports, spreadsheetsContent that changes weekly; you would be re-uploading constantly
LinksAnything already published on the web — help centres, docs sites, blogsPages behind a login, or JavaScript apps that render nothing server-side
TextShort policies and facts that live in someone’s head, not in a fileAnything long — a 40-page policy belongs in Documents
Q&AQuestions where the answer must be worded exactly this wayGeneral background; Q&A is a scalpel, not a corpus
AudioRecorded training, webinars, briefings — transcribed on uploadAnything you also have as a document; the document is cleaner

2. Documents

What is accepted

Knowledge Base → Documents accepts these file types, up to ten files per batch:

PDF

.pdf

Word

.doc · .docx

Excel

.xls · .xlsx

CSV & Markdown

.csv · .md

Uploading

  1. 1

    Open Knowledge Base → Documents

    Select the bot first — knowledge is scoped per bot, never shared implicitly.

  2. 2

    Drop files onto the dropzone

    Up to ten at a time. Files over your plan's per-file ceiling are rejected before upload starts rather than failing halfway.

  3. 3

    Let each row finish

    Text extraction, chunking and indexing happen per file. A short document is done in seconds; a long scanned PDF takes minutes because the pages have to be read optically first.

  4. 4

    Spot-check in Test Bot

    Ask a question whose answer only exists in the file you just added. If it comes back cited, that file is genuinely in the index.

4. Text, Q&A and audio

Text

A single free-form body of text per bot. This is the right home for the things nobody ever wrote down properly: the escalation rule, the seasonal exception, the caveat everyone knows but no document states.

Q&A pairs

An explicit question and its exact answer. Reach for these when the wording is not negotiable — pricing, refund terms, anything with legal or contractual weight, and anything the model keeps getting subtly wrong no matter how good the source document is.

Audio

Upload a recording and Chat.co transcribes it into searchable knowledge. Both the total minutes and the number of audio files per bot are metered by plan. Transcripts of unstructured conversation retrieve less cleanly than written documents, so if the same material exists as a deck or a document, prefer that.

5. Limits

Knowledge base capacity is metered in characters of extracted text, not in files or megabytes. A 40 MB image-heavy PDF may contribute less than a 2 MB text one.

PlanKnowledge baseMax file sizeURL crawlsAudio minutes
Starter2M characters50 MB50030
Pro5M characters100 MB10,000120
Business25M characters500 MB25,000600
EnterpriseUnlimited5 GBUnlimitedUnlimited

Two million characters is roughly a thousand pages of ordinary prose. Most bots that struggle are nowhere near a capacity limit — they are struggling on content quality.

6. Organising knowledge

Knowledge lives per bot. There are no folders inside a bot's knowledge base, and that is a deliberate constraint: the unit of separation is the bot itself.

One bot

Everything relates to one audience answering one kind of question. A product support bot over product docs. Simplest to run and to reason about.

Several bots

Audiences genuinely differ — a customer-facing bot and an internal-staff bot should never share a corpus, because the internal one contains things customers must not see.

The decisive question is not “is this a lot of content?” but “would I be comfortable if any of this reached any of these readers?” If the answer is no, that is a second bot, not a second folder. Managing multiple bots and teams covers the operational side.

7. What makes retrieval good

Structure beats volume

Retrieval works on passages. A document with real headings, short paragraphs and one idea per section produces passages that stand on their own. A wall of undifferentiated text produces passages that make no sense out of context — and out of context is exactly where they end up.

Say the thing the way people ask it

Your customers type “can I get my money back”, not “refund eligibility criteria”. If your content only ever uses the formal phrasing, add the colloquial one somewhere — a Q&A pair is the cheapest place to do it.

Delete contradictions

Two documents stating different return windows is worse than having neither, because retrieval will surface one of them unpredictably. When you supersede a policy, remove the old source rather than leaving both in place.

Re-test after every significant change

Keep a short list of questions you know the answers to and run them through Test Bot after each meaningful knowledge change. It takes two minutes and catches the case where a new upload quietly outranks the source that was answering correctly.

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