Vector Search with NoSQL Databases using MongoDB & Cassandra

SkillUp EdTech via Coursera

Coursera based on 26 ratings

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Overview

The vector database market is set to grow at a 20% CAGR by 2032 (Global Market Insights). This course gives data scientists, ML engineers, GenAI engineers, and software developers the sought-after skills for performing vector searches in NoSQL databases. Businesses carry out vector searches in NoSQL databases to improve an AI model's search accuracy and efficiency. During this micro course, you'll learn how to store and index vectors in MongoDB, perform vector searches, and apply the techniques in text similarity...

Syllabus

Vector Search Implementation in NoSQL Databases

Welcome to this module, where youll explore integrating vector search capabilities with NoSQL databases such as MongoDB and Cassandra. Youll explore the fundamentals of MongoDB and Cassandra, its features for storing and querying vectors, and how to perform efficient vector searches. Youll also learn how to leverage the unique features of each database system to perform efficient vector searches and build practical applications such as text similarity analysis and recommendation systems.