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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.

  • Advanced

  • 3 hours

  • Last Updated August 7, 2024

Prerequisites:

Intermediate PythonDatabase fundamentalsGenerative AI Fluency

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

Photo of Chang She

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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