How to Chat with Your PDFs, Notion, Google Docs & GitHub Repos on Vincony

# How to Chat with Your PDFs, Notion, Google Docs & GitHub Repos on Vincony

The most powerful thing you can do with an AI model is give it the right information before you ask your question. Vincony's Chat with your data feature makes this easy: index a document, crawl a URL, connect a GitHub repo, or sync your Notion and Google Docs workspace — then ask questions in plain English and get answers with source citations.

This guide walks through every method step by step.

Before You Start: Plan Requirements

• Starter plan ($16.99/mo) and above: paste documents, crawl URLs, index public GitHub repos.
• Pro plan ($24.99/mo) and above: connect Notion, Google Docs, Google Drive, and Slack as live connectors.
• Free plan: use ChatPDF to chat with large PDFs without a subscription — no indexing required, just upload and ask.

None of these features consume your chat credits. Indexing and retrieval run on Vincony's own infrastructure.

Step 1: Open Your Knowledge Sources

Navigate to /os/knowledge-sources from the left sidebar or the top navigation. This is the central hub for everything you index — documents, URLs, repositories, and connected apps all appear here.

You will see four tabs: Documents, URLs, GitHub, and Connectors. We will cover each in turn.

Step 2: Add a Document

Under the Documents tab, click Add document. You can:

• Paste text directly — useful for meeting notes, specifications, or any content you have copied to your clipboard.
• Upload a file — supported formats include PDF, DOCX, TXT, and Markdown. For large PDFs specifically, the ChatPDF tool on the free plan is an alternative that does not require indexing.

Once added, Vincony processes the document and makes it available across all your chats. Processing typically completes within a few seconds for standard documents.

Tip: Give each document a clear name when you add it. The name appears in source citations, so "Q2 Marketing Plan — Final" is more useful than "document-v3.pdf" when you are reading an answer.

Step 3: Crawl a URL

Under the URLs tab, paste the address of any publicly accessible web page and click Crawl. Vincony fetches the content, strips navigation and boilerplate, and indexes the meaningful text.

Useful scenarios for URL crawling:

• A competitor's pricing or feature page you want to reference in strategy discussions.
• A technical documentation page for a library or API.
• A long-form article or report you want to interrogate without reading every paragraph.

Crawled pages are re-indexed on a schedule so the content stays reasonably fresh. You can also trigger a manual re-crawl from the URL tab at any time.

Step 4: Index a Public GitHub Repository

Under the GitHub tab, paste the URL of any public GitHub repository and click Index. Vincony traverses the repository structure, reads the source files, and makes the codebase queryable in chat.

Once indexed, you can ask questions like:

• "What does the authentication middleware in this repo do?"
• "Where is the database connection initialised?"
• "What are the main dependencies and why might they have been chosen?"

The model draws on the actual file contents and includes file-level citations in its answers. Private repositories require the Pro plan and a connected GitHub account via the Connectors tab.

Step 5: Connect Notion, Google Docs, Google Drive, or Slack (Pro)

Under the Connectors tab on the Pro plan, you will see integration options for Notion, Google Docs, Google Drive, and Slack.

Connecting Notion: 1. Click Connect Notion and authorise the integration in the Notion permission dialog. 2. Select the pages or databases you want Vincony to index — you can be selective. 3. Vincony syncs the selected content and keeps it up to date automatically.

Connecting Google Docs and Drive: 1. Click Connect Google and sign in with the Google account that owns the files. 2. Choose the folders or specific documents to include. 3. Vincony indexes the content and syncs changes on a regular schedule.

Connecting Slack: 1. Click Connect Slack and authorise the Vincony app in your Slack workspace. 2. Select the channels you want indexed — public channels only, or specific private channels if your plan and workspace permissions allow. 3. Vincony makes the message history queryable, which is particularly useful for surfacing decisions, action items, and context buried in long threads.

All connector data is private to your Vincony account or workspace. It is never shared with other users and never used for model training.

Step 6: Ask Questions in Chat

Once you have indexed content, open any chat and start asking. You do not need to do anything special — Vincony automatically searches your knowledge sources when a question might benefit from them.

You can also be explicit: "Based on the Q2 Marketing Plan I uploaded, what are our stated goals for organic search?" or "According to the Slack messages from the #engineering channel, what was the decision on database migrations?"

Every answer that draws on your indexed content includes source citations — a reference to the document, URL, repository file, or connector record that informed the response. Click a citation to see the relevant excerpt.

Chatting with Large PDFs for Free

If you need to ask questions about a long PDF and you are on the free plan, the ChatPDF tool lets you upload the document and start a conversation immediately. There is no indexing step — the PDF is loaded into the model's context for that session. This is ideal for one-off documents: legal contracts, academic papers, annual reports, or any PDF you need to understand quickly.

Frequently Asked Questions

Is my data used to train AI models? No. Everything you index — documents, URLs, GitHub repos, connector content — is stored privately under your account and is never used for model training or shared with other users.

Do indexed documents use my chat credits? No. Indexing and retrieval run on Vincony's own infrastructure and do not consume credits. Credits are only used for AI model calls.

How often are connected apps re-synced? Notion, Google, and Slack connectors sync on a regular schedule. You can also trigger a manual sync from the Connectors tab at any time.

Can I remove indexed content? Yes. Any document, URL, repository, or connector can be removed from /os/knowledge-sources at any time. Removal takes effect immediately.

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Ready to bring your documents into your AI workflow? Open /os/knowledge-sources and add your first source — or compare plan options at /pricing to unlock connectors.