●SUNSET — Five days until the imagen-4.0 family shuts down: imagen-4.0-generate-001 and two sibling models stop on August 17●SAMPLING — Since July 21 the temperature, top_p, and top_k parameters are deprecated; no shutdown date yet, but worth auditing your calls●API — The Interactions API is now generally available and is the recommended path to the latest models and features●ROBOTICS — gemini-robotics-er-1.6-preview shuts down on August 31; its successor, ER 2, has been in public preview since July 30●ENTERPRISE — The Gemini Enterprise mobile app reached GA for organizations authenticating through third-party identity providers●RENAME — NotebookLM Enterprise is now Gemini Notebook Enterprise, so the term to search the docs for has changed too●SUNSET — Five days until the imagen-4.0 family shuts down: imagen-4.0-generate-001 and two sibling models stop on August 17●SAMPLING — Since July 21 the temperature, top_p, and top_k parameters are deprecated; no shutdown date yet, but worth auditing your calls●API — The Interactions API is now generally available and is the recommended path to the latest models and features●ROBOTICS — gemini-robotics-er-1.6-preview shuts down on August 31; its successor, ER 2, has been in public preview since July 30●ENTERPRISE — The Gemini Enterprise mobile app reached GA for organizations authenticating through third-party identity providers●RENAME — NotebookLM Enterprise is now Gemini Notebook Enterprise, so the term to search the docs for has changed too

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reembedding

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gemini-api¹ firestore¹ vector-search¹ rag¹ embeddings¹ production¹

⟐ Gemini Dev/2026-06-15Advanced

When Your Firestore × Gemini Embeddings RAG Quietly Degrades — Designing for Re-Embedding

A RAG built on Firestore native vector search and Gemini Embeddings drifts when the embedding model changes generations, and retrieval quality drops with no errors. Here is how to detect the drift, re-embed without downtime, and keep retrieval cost in check.