SCALABLE AI SEARCH FOR E-COMMERCE: HYBRID RAG ARCHITECTURE AND VECTOR DATABASES
DOI:
https://doi.org/10.30888/2663-5712.2025-34-03-010Keywords:
artificial intelligence, hybrid retrieval, retrieval-augmented generation (RAG), vector databases, e-commerce search, embeddings, approximate nearest neighbor (ANN), multi-tenancy, FinOps optimization, latency management, scalable infrastructureAbstract
The rapid expansion of multi-tenant e-commerce ecosystems with millions of SKUs demands a new generation of scalable, latency-aware, and cost-efficient AI search architectures. Maintaining stable interactive performance (p95/p99 latency) under fluctuatingReferences
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