Prerequisites:
Building Generative AI Solutions with Vector Databases
Course
This lesson covers vector databases, crucial for enhancing AI's long-term memory. Topics include core concepts, retrieval methods, and advanced indexing.
This lesson covers vector databases, crucial for enhancing AI's long-term memory. Topics include core concepts, retrieval methods, and advanced indexing.
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Advanced3 hoursLast Updated April 10, 2025
Advanced
3 hours
Last Updated April 10, 2025
Prerequisites:
Course Lessons
Lesson 1
Building Solutions with Vector Databases
This lesson covers vector databases, crucial for enhancing AI's long-term memory. Topics include core concepts, retrieval methods, and advanced indexing.
Taught By The Best
Chang She
CEO and Co-founder of LanceDB
Chang has nearly two decades of experience building and teaching data / ML tooling. He was the second major contributor to pandas, an adjunct at Columbia for introduction to data science, and ran engineering at TubiTV focusing on recommender systems. Most recently, Chang co-founded LanceDB to build the next generation database for AI.
Chang She
CEO and Co-founder of LanceDB
Chang has nearly two decades of experience building and teaching data / ML tooling. He was the second major contributor to pandas, an adjunct at Columbia for introduction to data science, and ran engineering at TubiTV focusing on recommender systems. Most recently, Chang co-founded LanceDB to build the next generation database for AI.
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