HomeCoursesVector Databases: From Embeddings to Applications

4.3

Intermediate

3h 15min

Updated 1 month ago

Vector Databases: From Embeddings to Applications

This course teaches how data vectorization and vector databases enable context-based search over keyword matching, multimodal data search, enhance recommendation systems, and power LLMs.

Join 2.8M developers at

Overview

Content

Reviews

Vector databases transform how we search, analyze, and recommend data in today’s AI-driven world. These databases are at the heart of modern applications like semantic search, multimodal search, recommendation systems, and retrieval augmented generation (RAG) for large language models. By using embeddings, which are numerical representations that capture the meaning of data, vector databases allow us to find similar information quickly and accurately, even across vast datasets. This makes them essential for building intelligent systems that understand data beyond simple keyword matching. In this vector databases course, you’ll learn to generate embeddings for various data types and use vector databases to store and query them. Using the power of embeddings and vector databases, you’ll build semantic search apps, recommendation systems, and multimodal search solutions. After completing this course, you’ll have the skills to determine when and how to effectively apply vector databases to different projects.

Vector databases transform how we search, analyze, and recommend data in today’s AI-driven world. These databases are at the hea...Show More

WHAT YOU'LL LEARN

An understanding of vector databases and their significance in modern-world AI applications

An understanding of embeddings in vector databases

The ability to build efficient, intelligent applications using the power of vector databases and embeddings

Hands-on experience generating unimodal and multimodal embeddings

The ability to find similar embeddings within a vector space

Hands-on experience using the Chroma vector database

Hands-on experience building unimodal and multimodal semantic search applications

Hands-on experience building embeddings and vector database-powered music recommendation system

An understanding of HNSW, the most widely used vector indexing technique used in vector databases for performance optimization

An understanding of vector databases and their significance in modern-world AI applications

Content

19 Lessons4 Quizzes

Before Getting Started

1 Lessons

Get familiar with vector databases, embeddings, and their applications in AI systems.

Introduction to the Course

Getting Started with Vector Databases and Embeddings

8 Lessons

Look at the essentials of vector databases, embeddings, similarity measures, and multimodal integration.

Introduction to Vector Databases and Embeddings

Methods for Measuring Similarity between Embeddings

Embedding Models for Different Data Types

Generating Text Data Embeddings with BERT

Generating Image, Video, and Audio Embeddings

Multimodal Embeddings

Embeddings vs. Fine-Tuning

Quiz: Getting Started with Vector Databases and Embeddings

Working with Vector Databases

5 Lessons

Work your way through leveraging open-source vector databases, hands-on practices, and optimization techniques.

Developing a Music Recommendation System

4 Lessons

Apply your skills to develop and optimize a music recommendation system using vector databases.

Wrapping Up

1 Lessons

Take a closer look at vector databases, embedding techniques, and their practical applications.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

Trusted by 2.8 million developers working at companies

"These are high-quality courses. Trust me. I own around 10 and the price is worth it for the content quality. EducativeInc came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"

Anthony Walker

@_webarchitect_

"Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!"

Evan Dunbar

ML Engineer

"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."

Software Developer

Carlos Matias La Borde

"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"

Souvik Kundu

Front-end Developer

"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."

Vinay Krishnaiah

Software Developer

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Personalized Interview Prep

Skip the LeetCode grind with a custom roadmap that adapts to your goals. Hands-on practice for Coding Interviews, System Design, and more.

Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

Course

Fundamentals of Retrieval-Augmented Generation with LangChain

Explore this beginner RAG course to learn the basics of retrieval-augmented generation. For hands-on practice, build RAG pipelines using LangChain and create user-friendly applications with Streamlit.

4 h

beginner

Course

Responsible AI: Principles and Practices

Learn how to master responsible AI. Learn fairness, bias mitigation, explainable AI, and data privacy to design ethical AI systems. Future-proof your skills in trustworthy AI practices.

20 h

intermediate

Course

Machine Learning System Design

Gain insights into ML system design, state-of-the-art techniques, and best practices for scalable production. Learn from top researchers and stand out in your next ML interview.

2 h

intermediate

Course

Machine Learning Handbook

Gain insights into ML fundamentals, explore Python libraries, and delve into real-world applications like Tesla and ChatGPT. Discover traditional vs. deep learning for data-driven decision-making.

2 h 30 m

beginner

Course

Generative AI: From Theory to Product Launch

Lead the GenAI revolution, future-proof your skills by exploring generative models, transformer networks, and state-of-the-art applications in text, image, and video generation.

2 h

beginner

Course

Essentials of Large Language Models: A Beginner’s Journey

In this LLM course, learn the fundamentals, fine-tuning, and evaluation, and explore its architecture and evolution. Discover GPT-2, compare models, and uncover use cases.

2 h

beginner

Course

Fundamentals of Retrieval-Augmented Generation with LangChain

beginner

4 hour

Course

Responsible AI: Principles and Practices

intermediate

20 hour

Course

Machine Learning System Design