Tag: Vector Search
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Vertex AI Search and RAG Engine, from Data Store to Grounded Answer (Google Cloud Gen AI Series, Part 12)
Vertex AI Search gives you managed retrieval with almost no plumbing, while RAG Engine hands you the chunking, embeddings, and vector backend. Here is when each one wins.
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Azure AI Search and RAG, from Index to Answer (Azure Gen AI Series, Part 12)
How Azure AI Search grounds a model in your own documents: the ingestion pipeline, keyword and vector retrieval, RRF hybrid merging, and the semantic ranker that decides what the model actually reads.
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About the Author
Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
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