Purpose:
This will allow Assistant to pull real-time, relevant information from external databases, documents, or apps, enhancing its ability to provide accurate, context-aware responses.
Impact on Workflows & User Experience:
Current Workflow: Assistant relies on pre-indexed or limited data sources, which can lead to incomplete or outdated responses.
Improved Experience: Users will get more accurate, up-to-date, and comprehensive answers by leveraging external data.
How Users Will Use It:
Sync Personal Data: Connect Assistant to apps like Google Drive, Notion, or Slack to retrieve and reference personal documents or messages. For example, asking, “What’s the latest update on Project X?” could pull data from a Notion workspace.
Domain-Specific Queries: For professional use, Assistant could pull CRM data from HubSpot to answer questions like, “What’s the status of Client Y’s account?”
Hybrid Search: Users can search across both exact terms and contextual relevance, even for ambiguous queries. For example, “Find the Q4 sales report” would retrieve the correct document, even if the exact title isn’t known.
Integrate Local Data: Assistant could connect to local files (e.g., PDFs, Word documents, or spreadsheets) stored on a user’s device. For example, asking, “What are the key points from my meeting notes?” would analyze and summarize documents within a specified folder, ensuring privacy and convenience. Users could point Assistant to a specific directory (e.g., “Check my ‘Work Notes’ folder”), enabling it to retrieve and process relevant files without requiring cloud uploads.
Services that aim to solve this:
https://carbon.ai/
https://www.ragie.ai/
