Boost AI context with hybrid search in Spanner
Google spanner Vector search Hybrid search Rag Gemini Google cloud Ai search Full Text search Database search Retrieval augmented generation Semantic search Multi Model queries
This session demonstrates how to combine full-text and vector search in Google Spanner to build sophisticated AI-powered search experiences. Developers learn to implement multi-model queries that improve context for RAG applications and integrate with Gemini Enterprise Agent Platform for next-generation intelligent search. Ideal for engineers building AI applications requiring deep semantic understanding of operational data.
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