INTERMEDIATE
Embeddings and Vector Search
Use embedding models and vector retrieval for semantic discovery. Part of the free AWS Bedrock Academy — every lesson below is open to everyone, no signup required.
2 lessons150 XP~19 min total100% free
// LESSONS IN THIS MODULE
- 01Embedding Fundamentals9 min · 75 XP
From Text to Vector Space Embeddings map text into dense vectors where semantic similarity is measurable as geometric distance. "Reset my password" an...
- 02Hybrid Retrieval Strategies10 min · 75 XP
Dense + Keyword Works Better in Production Hybrid retrieval combines semantic vector search with lexical (keyword/BM25) matching. Dense vectors unders...