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Tech Talk: AI-driven language processing with Vector Search and Apache Cassandra
Speaker: Erick Ramirez @Datastax
Abstract: ChatGPT opened the world to the significant advancement in natural language processing. Asking it questions as if talking to another human, it is able to deduce semantics and context to return relevant information. What if there was a way to retrieve data from your database not with SQL or SQL-like queries but with plain English questions? With a vector database like Cassandra, you can!
With vector search, data objects are transformed into embeddings – vector representations in a high-dimensional space. The embeddings capture the semantic essence of data, enabling more nuanced searches. A vector search retrieves objects which are semantically-related, with an understanding of the context and meaning.
Learn how to perform vector searches on your data out-of-the-box with Cassandra.

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