Semantic Search Across Notes Using Dex Copilot (RAG-Based)

Details:

Currently, searching through notes in Dex requires exact keyword matches, which makes it difficult to find relevant information when wording differs (e.g., “banking information” vs. “bank coordinates”).

Request to enhance Dex Copilot with semantic search / RAG (Retrieval-Augmented Generation) over note content so users can:

Search notes by meaning, not just exact words

Retrieve relevant notes even when phrasing differs

Ask natural-language questions that surface the right context from historical notes

Example use cases:

Finding financial or logistical details recorded with different terminology

Quickly recalling past conversations without remembering exact phrasing

Making notes a truly usable long-term memory system

Value:

Dramatically improves note discoverability

Reduces friction in recalling important context

Makes Dex Copilot far more powerful as a knowledge layer, not just a chatbot