Introduction to Embeddings with the OpenAI API

Training programme overview

Hands-on introduction to embeddings with the OpenAI API: vector representations, semantic search and recommendation pipelines. Covers creating embeddings, indexing, vector querying and practical scaling strategies.

Explains embeddings concepts and how they enable textual similarity and semantic search systems.

Demonstrates generating embeddings with the API, structuring vector indexes and performing similarity queries.

Covers embedding-based recommendation workflows and matching algorithms used in practice.

Discusses operational best practices: vector management, dimensionality reduction, and trade-offs in cost and latency.

Training · Intermediate