Embeddings & Semantic Search

Transform text into meaning. Build search systems that understand intent, recommendation engines that know your users, and RAG pipelines that ground AI in your data.

4 chapters12 lessons2.5 hours

Chapters

What Embeddings Are

12 min 2

OpenAI Embedding Models

12 min 3

Generating Embeddings

12 min Chapter Quiz

Building Search Systems

Design and implement semantic search, choose the right vector database, and combine keyword and semantic approaches for hybrid search.

3 lessons40 min

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RAG (Retrieval-Augmented Generation)

Build RAG pipelines that ground AI responses in your data. Master chunking strategies and advanced retrieval patterns.

3 lessons40 min

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Beyond Search

Apply embeddings to recommendation systems, classification, clustering, anomaly detection, and production pipeline engineering.

3 lessons40 min

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Embeddings & Semantic Search

Chapters

Understanding Embeddings

Building Search Systems

RAG (Retrieval-Augmented Generation)

Beyond Search