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, machine learning engineers, generative AI engineers, software developers, and other data-oriented roles the in-demand skills for performing vector searches in relational databases.
Why do businesses choose to use vector search with relational databases? Businesses use vector search with relational databases to improve information retrieval via advanced similarity matching.
In this course, you’ll get hands-on working with PostgreSQL as your relational database platform and Python and JavaScript to vectorize data. You’ll 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 Vector Database Fundamentals Professional Certificate from IBM, designed for professionals building on their NoSQL and relational database experience to work with vector databases.
So, enroll today and deep-dive into the world of vector search with relational databases, using PostgreSQL to build the highly sought-after skills businesses need.
