INTERMEDIATE
Embeddings & Vector Search
Build semantic search and RAG pipelines using OpenAI's embedding models and vector stores. Part of the free OpenAI Academy — every lesson below is open to everyone, no signup required.
2 lessons450 XP~27 min total100% free
// LESSONS IN THIS MODULE
- 01The Embeddings API12 min · 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...
- 02Building RAG Pipelines15 min · 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...