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24 August 2025

Agentic AI in Action: Vector Embeddings for Contextual Understanding

Location

online
Online

Speaker

1 Professional
Speaker

Days:

1 Day

About

This talk dives into the role of vector embeddings as the backbone of contextual intelligence in modern AI. By mapping information into high-dimensional spaces, embeddings allow agentic AI systems to interpret meaning, discover relationships, and adapt to diverse scenarios beyond simple keyword matching.

Participants will gain insights into how embeddings empower AI agents to perform semantic search, retrieve knowledge with precision, and sustain memory for dynamic interactions. Real-world applications—from conversational AI to recommendation systems—will highlight how contextual understanding transforms static models into truly agentic systems capable of reasoning and acting with autonomy.

Benefits

Learning
Mentorship
Networking
Industry connect