Vector Databases in Practice (Intermediate): Embeddings and Search
Understand and use vector databases for similarity search, RAG, and AI-powered retrieval systems.
Understand and use vector databases for similarity search, RAG, and AI-powered retrieval systems.
Vector databases are core to modern AI systems. This course teaches how embeddings work, how vector search behaves, and how to design effective retrieval pipelines.
7–11 hours (self-paced).
Python fundamentals
Basic understanding of AI or NLP concepts
Interest in search and retrieval systems
Use embeddings effectively
Build vector search pipelines
Improve retrieval quality for RAG systems
Choose the right vector database approach
Enroll Now
Students
0
Language
English
Duration
10h 45mLevel
intermediate
Expiry period
Lifetime
Certificate
yes
Dr. Kay
English
Certificate Course
0 Students
10h 45m
92 Courses
2 Reviews