Harnessing Vector Embeddings for Real-World Impact - Daniel Svonava About the event

Outline:

• The fundamental principles of vector embeddings
• Practical applications of vector embeddings
• RAG (Retrieval-Augmented Generation) and LLMs
• Integrating vector embeddings into existing infrastructure

About the speaker:

Daniel is the CEO of Superlinked.com, a compute and data engineering framework for turning data into vector embeddings, designed for building high-relevance RAG, Search, Recommender, and Analytics systems. Before, Daniel was a Tech Lead at YouTube, where he built Machine Learning infrastructure that enables the purchase of more than 10 billion USD worth of YouTube Ads every year.

​​​DataTalks.Club is the place to talk about data. Join our slack community!

This podcast is sponsored by VectorHub, a free open-source learning community for all things vector embeddings and information retrieval systems. Thanks for supporting this event! Thanks for sponsoring this event!