Users expect search not just to return accurate results, but to do the heavy lifting: Answer a question, summarize research, or even solve a problem.

Vespa Blog

Generative AI has transformed search expectations from simple keyword matching to complex question-answering and problem-solving. Traditional vector databases struggle with production-grade requirements that demand combining semantic, keyword, and metadata retrieval with machine-learned ranking at scale. AI search platforms emerge as a new infrastructure class that unifies classical search techniques with modern AI capabilities, enabling accurate retrieval at machine speed. Enterprises face a split between basic GenAI supported by incumbent platforms and advanced customer-facing use cases requiring dedicated AI search platforms for competitive advantage.

Why AI Search Platforms Are Gaining Attention

The Challenge: Delivering Retrieval Accuracy at Scale