Why it matters

Vertex AI Search removes RAG infrastructure work. Understanding enables enterprise LLM apps.

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The architecture

Data stores: web, docs, structured data.

Retrieval: hybrid (embedding + keyword). Ranker for relevance.

Vertex AI Search integrationData ingestiondocs / DB / webManaged retrievalhybrid searchADK toolwraps API callRemoves need to run own vector DB; Google manages embeddings + retrieval
Vertex Search flow.
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How it works end to end

ADK tool wrapper: expose search as callable tool. LLM decides when to search.

Filters: metadata-based scoping (per-user, per-project).

Grounding: cite sources from retrieved documents.