Essential Concepts of Vector Databases
Completed by hung ng
February 15, 2026
8 hours (approximately)
hung ng's account is verified. Coursera certifies their successful completion of Essential Concepts of Vector Databases
What you will 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.
Skills you will gain
- Category: Large Language Modeling
- Category: Vector Databases
- Category: OpenAI API
- Category: Embeddings
- Category: Development Environment
- Category: Databases
- Category: LangChain
- Category: Data Analysis
- Category: Data Management

