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课程概述
With vector databases now powering business competitiveness through super-fast applications such as recommendation engines, it’s no surprise that the vector database market is set to grow 23% CAGR by 2032 (Markets and Markets).
This micro course gives aspiring data scientists, ML engineers, gen-AI engineers, software developers, and other data-oriented roles the in-demand skills for performing vector searches in relational databases.
Businesses use vector search with relational databases to improve information retrieval via advanced similarity matching. You’ll gain hands-on experience working with PostgreSQL as your relational database platform and Python and JavaScript to vectorize data, create embeddings and collections, and load data, including bulk insertion techniques. Plus, you’ll provide similarity search recommendations using techniques such as cosine similarity.
This micro course is part of the IBM Vector Database Fundamentals specialization, designed for professionals building on their NoSQL and relational database experience to work with vector databases.
So, enroll today and get set to power your career with highly sought-after relational vector database skills.
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1 - Vector Search with Relational Databases using PostgreSQL 的 9 个评论(共 9 个)
创建者 Geetika P
•Oct 23, 2024
Such good and detailed course contents, very helpful.
创建者 T S
•Jul 25, 2025
Excellent practical labs in Node.js and Python!
创建者 pratiksha v
•Oct 22, 2024
Excellent Course.
创建者 Anita v
•Oct 22, 2024
Excellent course!
创建者 appalabhaktula h
•Oct 22, 2024
nice information
创建者 Poonam b
•Apr 23, 2025
Knowledgeable
创建者 Advaitha
•Oct 22, 2024
Very good
创建者 Tchingiz T
•Dec 16, 2024
good course
创建者 Peter F
•Sep 23, 2025
The labs, which are a major part of this course, don't work.