Introduction to AI-Native Vector Databases
Introduction to AI-Native Vector Databases
Duration: 2h 47m 38s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 436 MB
Genre: eLearning | Language: English
Duration: 2h 47m 38s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 436 MB
Genre: eLearning | Language: English
The primary purpose of vector databases is to provide fast and accurate similarity search or nearest neighbor search capabilities. The integration of AI techniques in vector databases enhances their capabilities, improves search accuracy, optimizes performance, and enables more intelligent and efficient management of high-dimensional data. In this course, Zain Hasan introduces this foundational technology—which is already being used in industries like ecommerce, social media, and more. Zain covers everything from foundational concepts around AI-first vector databases to hands-on coding labs for question answering using LLMs.
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