In this comprehensive course, you will gain a deep understanding of vector databases, their structure, and how they differ from traditional databases. By exploring fundamental concepts, including their benefits and real-world applications, you will be equipped with the knowledge needed to leverage these cutting-edge technologies in data management and AI.
Essential Concepts of Vector Databases
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Understand the key differences between traditional and vector databases and why they are increasingly essential in modern data management.
Gain hands-on experience with Chroma and Pinecone vector databases, including setting up, querying, and managing embeddings.
Master vector similarity metrics like cosine similarity, Euclidean distance, and dot product to perform data retrieval efficiently.
Explore the integration of vector databases with Large Language Models (LLMs) and learn how to enhance query responses using AI technologies.
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2025
Assessments
10 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 11 modules in this course
In this module, we will introduce the prerequisites and overall structure of the course. You will gain a clear understanding of what to expect and how to navigate through the course for an optimal learning experience.
What's included
1 video1 reading
In this module, we will dive into the fundamental concepts of vector databases. You will learn their applications, the reasons for their growing popularity, and the advantages they offer compared to traditional database systems.
What's included
3 videos1 assignment
In this module, we will explore the key differences between traditional and vector databases. Through detailed comparisons, you will learn how vector databases overcome limitations of older systems, and understand the roles of embeddings and vectors in data management.
What's included
6 videos1 assignment
In this module, we will introduce you to the top 5 vector databases available today. You will also discover how these databases integrate with Large Language Models (LLMs) to enable advanced data management and analysis.
What's included
2 videos1 assignment
In this module, we will provide a hands-on guide to working with Chroma vector databases. You will learn to set up your environment, create a Chroma database, add documents, perform queries, and explore important database metrics.
What's included
11 videos1 assignment
In this module, we will focus on common measures of vector similarity. You will learn the theoretical underpinnings of cosine similarity, Euclidean distance, and the dot product, and how they are applied in real-world data retrieval scenarios.
What's included
4 videos1 assignment
In this module, we will walk you through the complete workflow of integrating vector databases with LLMs. You will learn how to generate embeddings, load documents, and generate model responses through seamless workflows.
What's included
6 videos1 assignment
In this module, we will introduce the LangChain framework and its integration with vector databases. You will explore how to load, split documents, and complete database queries within the LangChain ecosystem.
What's included
6 videos1 assignment
In this module, we will explore the Pinecone vector database. You will learn how to create and query Pinecone indexes, as well as how to clean up data and maintain an efficient indexing system.
What's included
10 videos1 assignment
In this module, we will guide you through selecting the best vector database for various applications. You will learn how to use comparison tables and evaluate key criteria for making informed decisions.
What's included
3 videos1 assignment
In this final module, we will review the key concepts from the course and guide you on your next steps. You will gain insight into further learning opportunities and resources for continued growth in the field.
What's included
1 video1 assignment
Instructor
Offered by
Recommended if you're interested in Cloud Computing
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
New to Cloud Computing? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.