INTERMEDIATE

Embeddings & Vector Search

Build semantic search and RAG pipelines using OpenAI's embedding models and vector stores. Part of the free OpenAI Academy โ€” every lesson below is open to everyone, no signup required.

2 lessons450 XP~27 min total100% free

// LESSONS IN THIS MODULE

  1. 01The Embeddings API12 min ยท 200 XP

    Turning Text into Numbers Embeddings are dense vector representations of text that capture semantic meaning. Two texts about the same topic will have...

  2. 02Building RAG Pipelines15 min ยท 250 XP

    Retrieval-Augmented Generation RAG is the pattern of retrieving relevant documents from a knowledge base and injecting them into the LLM's context bef...

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Embeddings & Vector Search โ€” OpenAI Academy Module | Free Lessons