​Save your spot to get reminders + the recording:
https://shorturl.at/qEkj0

Learning outcomes: 

• ​Build an advanced agentic RAG system that combines automated email processing with Obsidian notes management

• ​Learn practical agent orchestration patterns using CrewAI and Qdrant for personal data

• ​Implement human-in-the-loop workflows for responsible AI automation
  

​About:
Do you want to build an advanced agentic RAG system?

​Are you interested in boosting your productivity, and automating certain tasks of your daily routines? 

​In this live session, we'll demonstrate how to build an intelligent personal assistant that semi-automates email management and knowledge organization using CrewAI and Qdrant.

​You'll learn how to create a system where AI agents connect directly to your email inbox and personal knowledge base, analyzing incoming communications and existing knowledge to prepare contextually relevant response suggestions. The system will maintain human oversight by allowing you to review and modify these responses before sending.

​We'll show you how to build a unified knowledge base in Qdrant that seamlessly integrates both email communications and Obsidian notes, enabling your AI agents to provide more informed and contextual assistance. Beyond email management, you'll learn how to implement agents that automatically generate and maintain to-do lists, organize your notes for clarity, and create structured summaries of your knowledge base. This automated approach to personal knowledge management can help you reclaim hours of your week while maintaining full control over your communications.

​Who should attend:

• ​AI/ML Engineers

• ​Solutions Architects

• ​Software Developers

• ​Technical Product Managers

​Pre-requisites: 

• ​Basic understanding of vector databases and embeddings

• ​Familiarity with Python

• ​General knowledge of LLMs and their applications

• ​No specific CrewAI or Qdrant experience required