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Course

Embedding Model Evaluation & Selection

Embedding models are the heart of vector search. Learn how to evaluate and select appropriate embedding models for your use case.

Level
Intermediate
Duration
2 hour(s)
Learning Paths

What you'll be able to do:

  • •
    Apply a systematic workflow for embedding model evaluation and selection
  • •
    Identify and document requirements across data, performance, operational, and business dimensions
  • •
    Use efficient screening techniques to compile candidate models from hundreds of options
  • •
    Design and implement custom benchmarks using your own data and use cases
  • •
    Establish ongoing re-evaluation processes to maintain optimal performance over time

Prerequisites:

wa050-pywa101t-pywa150-py

Course Content

1

Understanding and Planning

Learn why embedding model selection matters and establish a systematic approach to identify your specific requirements.

2

Evaluation and Implementation

Apply screening techniques and detailed evaluation methods to select the optimal embedding model for your use case.