Building Production Search Systems

​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.

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​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!