Ask Your Notes a Question. Get a Real Answer.
Your notes contain the answer — you just can't always find it. Mindweave's Ask feature uses retrieval-augmented generation to pull the most relevant passages from your knowledge base and synthesize a precise answer, with sources you can verify.
You've Captured Everything. You Can Access Almost Nothing.
Knowledge capture is only half the battle. The other half — retrieval — is where most systems fail. You've diligently saved articles, written notes, and bookmarked ideas for months. But when you actually need an answer, you're back to scrolling and searching.
Generic AI chatbots don't know what you've read. They hallucinate. They don't cite sources. And they can't tell you what you personally learned from a specific book or experience.
What you really need is an AI that knows your notes as well as you do — and can retrieve and reason over them on demand.
RAG-Powered Q&A Over Your Personal Knowledge Base
When you ask a question in Mindweave, the system runs a semantic search over your notes to retrieve the most relevant passages. Those passages are assembled into a grounded context window and sent to Google Gemini, which synthesizes a direct answer. Every response is anchored to your actual content — not hallucinated from training data.
Retrieval-Augmented Generation
Real RAG, not a chatbot wrapper. Mindweave retrieves the most semantically relevant notes first, then asks Gemini to answer based only on those.
Cited, Verifiable Answers
Every answer links back to the source notes it was drawn from, so you can read the original context and trust the response.
Conversation Memory
Ask follow-up questions naturally. The chat interface maintains context across your session, refining answers as you dig deeper.
Grounded in Your Data Only
Gemini answers based solely on your retrieved notes — reducing hallucination and ensuring every insight is traceable to something you actually captured.
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