Introduction to AI-Native Vector Databases
With Zain Hasan
Liked by 204 users
Duration: 2h 47m
Skill level: Intermediate
Released: 12/14/2023
Course details
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.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Rajesh B
Rajesh B
GenAI | AI & ML | NLP | Deep Learning Enthusiast | QA Specialist | Wi-Fi & EasyMesh | Audio/Video Streaming | STB Testing
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Phongphat Wiwatthanasetthakarn
Phongphat Wiwatthanasetthakarn
Data Scientist | Data Analyst | Data Engineer | SCRUM, Kanban, 6σ
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Ravinder Pratap Singh Ahluwalia
Ravinder Pratap Singh Ahluwalia
AI&ML Student and Researcher || President @EvolveAI || Business and Entrepreneur enthusiast || B.E. CSE in Artificial Intelligence and Machine…
Contents
What’s included
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone
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