Memory Bank support for Gemini Embedding 2

UpdateJul 8, 2026VerifiedAdded Sep 22, 2026

Memory Bank supports the gemini-embedding-2 model for similarity search configurations. When you configure gemini-embedding-2 as the embedding model, you must use one of the global , us , or eu endpoints in the model's resource name (for example, projects/{project}/locations/us/publishers/google/models/gemini-embedding-2 ).

LLMs Vector search

Read Google Cloud's release notes

https://docs.cloud.google.com/gemini-enterprise-agent-platform/docs/release-notes#July_08_2026

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