SkillUp EdTech
Vector Search with Relational Databases using PostgreSQL
SkillUp EdTech

Vector Search with Relational Databases using PostgreSQL

Skill-Up EdTech Team
Lavanya Thiruvali Sunderarajan

Instructors: Skill-Up EdTech Team

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

6 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Describe the principles of modeling vector data in Relational databases (RDBMS). 

  • Apply the commands necessary to store, retrieve, and query vectors efficiently in PostgreSQL. 

  • Implement indexing techniques and optimization strategies for enhancing vector search performance. 

  • Demonstrate, through hands-on labs, how to set up environments and perform vector searches using PostgreSQL. 

Details to know

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Recently updated!

June 2024

Assessments

3 assignments

Taught in English

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

6 hours (approximately)
Flexible schedule
Learn at your own pace

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This course is part of the Vector Database Fundamentals Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There is 1 module in this course

Welcome to this module, where you’ll learn how to implement vector searches using relational databases. You’ll begin with a recap of RDBMS and then dive into the structures RDBMS uses to support vector data types and queries. You’ll apply what you know to perform similarity search tasks using special operators available in PostgreSQL. And, with a focus on PostgreSQL, you’ll learn how to create tsvector data, perform tsquery tasks, and perform bulk inserts using pg-vector for Node.js and psycopg2 for Python.

What's included

8 videos5 readings3 assignments6 app items1 discussion prompt5 plugins

Instructors

Skill-Up EdTech Team
SkillUp EdTech
50 Courses61,117 learners

Offered by

SkillUp EdTech

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