Building Production Search Systems
Details
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! Thanks for sponsoring this event!