Use embedding models and vector retrieval for semantic discovery. Part of the free AWS Bedrock Academy โ every lesson below is open to everyone, no signup required.
From Text to Vector Space Embeddings map text into dense vectors where semantic similarity is measurable as geometric distance. "Reset my password" an...
Dense + Keyword Works Better in Production Hybrid retrieval combines semantic vector search with lexical (keyword/BM25) matching. Dense vectors unders...