Building Production Search Systems
Harnessing Vector Embeddings for Real-World Impact - Daniel Svonava
About the event
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.
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!