Unlocking the Power of SAI Indexing and Vector Search

Dive into the intricacies of utilizing SAI indexes with Vector Search.
Hornet is a social networking community and app. It has more than 35 million members worldwide and provides a community home base that is available anytime and anywhere.
Matthew Hirst, Head of Engineering at Hornet shares insights into Hornet’s innovative use case, employing large numbers of vectors combined with SAI indexes to enhance result relevance for users. The discussion focuses on implementing location-based searches using latitude and longitude bounding boxes, exploring real-world applications, and learning how Hornet leverages this approach to deliver tailored user recommendations.
Resources:
--Free Astra account: astra.datastax...
--Demo here: github.com/AI-...
--OpenAI Embeddings: platform.opena...
--Vector Search: docs.datastax....
--Cassandra Indexing: www.datastax.c...
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