
Smarter, Not Bigger: Rethinking Vector Search for Resource-Constrained Environments
As vector datasets grow, search accuracy and performance often decline. This whitepaper explains why that happens and how smarter indexing, stronger embeddings, and structured re-ranking can significantly improve relevance without increasing infrastructure costs. Designed for engineering leaders and architects, it offers a practical framework for optimising AI-driven search in production environments.




























