The knowledge you need is rarely in one document. It's spread across the PDF you read last month, the Google Doc from the kickoff, two Confluence pages and a research paper you half-remember. Re-finding and re-reading them every time you have a question is the slow tax on everything you've already read once.
Chatting with your whole library fixes that, as long as the answer stays honest: each point cited back to the document and passage it came from. Here's how to ask one question across everything you've saved and still be able to check it.
Why re-uploading to a chatbot doesn't scale
The upload-then-ask pattern breaks down the moment your sources grow:
- It forgets. Each session starts empty. Yesterday's uploads are gone, so you re-attach the same files again and again.
- It caps the sources. Most chat tools limit how many files you can attach, so the one document with the answer might be the one you left out.
- It loses the source. Paste five documents in and ask, and the answer can rarely tell you which of them a given point came from.
The better approach: a searchable library that cites its sources
Sidenote saves each document you read and indexes it, so you can ask a question across the whole set. Under the hood this is retrieval-augmented generation: it retrieves the relevant passages with semantic search first, then answers from them and cites each one.
Step 1 - Build the library once
Save documents as you read them: PDFs, Google Docs, Notion and Confluence pages, web pages. Each becomes part of a searchable knowledge base instead of a file in a folder you'll never reopen. There's no separate "import everything" chore - the library grows from your normal reading.
Step 2 - Ask across the whole set, or a Collection of it
Ask a broad question against your whole library:
What did we commit to on pricing across all the proposals I've saved?
Or bundle a subset into a Collection - one project's documents, say - and ask across just those, so the answer is drawn from the sources that matter and nothing else.
Step 3 - Follow each citation to its source document
Every point cites the document and passage it came from. Click through to read the passage in context, so a synthesized answer across ten documents is still one you can verify line by line.
Where this beats a single-document chat
Chatting with one PDF is useful; chatting with everything you've read is a different tool. It answers "have I seen this before," "what's the consensus across these five papers," and "which of our docs contradicts this one" - questions no single-document tool can touch. See how to chat with multiple PDFs for the multi-document mechanics, and how to search across company docs and wikis for the team-knowledge version.
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The short version
- Stop re-uploading: build a library once and query it forever.
- Ask across your whole library, or scope to a Collection when a question belongs to one project.
- Insist on a citation per point, so a cross-document answer names its sources.
- Retrieval keeps accuracy up by answering from the relevant passages, not one giant prompt.