The Technical Foundation

This workflow leverages advanced AI technology through a process called Retrieval-Augmented Generation (RAG):

1. Database Querying: The assistant uses flexible filters to search across multiple Notion database properties (tags, questions, categories)

2. Content Extraction: When relevant pages are identified, the system retrieves specific blocks of content within those pages

3. Context Assembly: The AI analyzes and synthesizes information from multiple sources into coherent responses

4. Reference Linking: All responses include direct links to source materials for verification and further exploration

Built with HTTP request tools that connect directly to your Notion workspace, the system creates a seamless bridge between your knowledge base and users seeking information.