Enhancing Apache Cassandra Drivers with Vector Support
Offered By: Linux Foundation via YouTube
Course Description
Overview
Explore the technical intricacies of integrating vector support into Python, Java, and NodeJS drivers for Apache Cassandra in this 32-minute conference talk. Delve into the engineering efforts behind expanding driver functionality to facilitate seamless interaction with Astra Vector database and DSE 7.0 preview, while preparing for compatibility with Apache Cassandra 5.0's vector feature. Understand the significance of vector support in enabling similarity search, a crucial component for emerging AI use cases and methodologies. Gain insights into code implementation, challenges faced during development, and the broader implications of this enhancement for database operations and AI applications. Engage in community dialogue to further enrich the Cassandra ecosystem and learn how vector support can be a game-changer in the field.
Syllabus
Enhancing Apache Cassandra Drivers with Vector Support - Bret McGuire, DataStax
Taught by
Linux Foundation
Tags
Related Courses
Natural Language Processing: NLP With Transformers in PythonUdemy Locality Sensitive Hashing for Search with Shingling + MinHashing - Python
James Briggs via YouTube Hugging Face Datasets - Dataset Builder Scripts for Beginners
James Briggs via YouTube Choosing Indexes for Similarity Search - Faiss in Python
James Briggs via YouTube FAISS - Introduction to Similarity Search
James Briggs via YouTube