FoundationsIntermediate

Vector Embeddings

Learn the fundamentals of embeddings, vector databases, and semantic search.

4.8

428 students4 weeks

What You'll Learn

Understanding vector embeddings and their creation

How vector databases work (indexing, querying)

Fundamentals of semantic search

Choosing the right vector database (Pinecone, Weaviate, etc.)

Building applications using vector embeddings (RAG, recommendations)

Evaluating the performance of semantic search systems

Data Scientist & Search Specialist

Expert in vector search technologies and building recommendation systems. Experience with multiple vector database platforms.

Duration4 weeks

LevelIntermediate

CategoryFoundations

Students428

UpdatedAugust 2023

Join hundreds of professionals who have already advanced their careers with this course.