Building a Knowledge Base from Scratch

Whether you're starting fresh or migrating from another tool, this workflow shows you how to build a connected, searchable knowledge base using Documents, Notes, and Collections.

1

Upload your documents

Start by gathering the files you already have — PDFs, Word docs, spreadsheets, notes from other apps. Upload them to the Documents section. Chunk indexes each file so the AI can search through them semantically.

Tip: Tag documents as you upload them. A simple taxonomy like "Work", "Personal", "Research" helps later when you want to filter.

2

Create notes from conversations

As you chat with Chunk — whether asking questions about your documents or exploring new topics — save useful AI responses as Notes. Each saved response becomes a clean markdown note you can edit and organize.

Tip: Use note templates to structure your notes consistently. Research Summary works great for captured insights.

3

Connect notes with wiki-links

As your note collection grows, start connecting related ideas. Type [[ in any note to link to another note. This creates a web of knowledge where you can navigate between related concepts. Backlinks automatically show you which notes reference the one you're reading.

4

Explore the Knowledge Graph

Switch to Graph View in Notes to see all your notes and their connections as a visual map. Look for clusters of densely connected notes (strong topic areas) and isolated notes (potential gaps). This bird's-eye view helps you identify what to explore next.

5

Organize with Collections

Group related documents, notes, and web content into Collections organized by project or topic. Each collection becomes a focused workspace you can chat with, getting AI responses that draw from exactly the sources you've curated.

Tip: Save important notes to Documents (via the hard drive icon) so they're also searchable in collection-scoped chat.