What is embedding Gemma and why do embeddings matter for search?
Embedding Gemma is a specialized model in the Gemma family built specifically for search. It helps you turn text into embeddings, which lets you search by meaning rather than exact keywords. If you want to search your own docs, customer notes, support tickets, sales calls, or knowledge base locales, embeddings matter a lot. It's a purpose-built tool for semantic search rather than a general-purpose language model.
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