Vertex AI Search - 2026 Pricing, Features, Reviews & Alternatives

Vertex AI Search is a fully managed, cloud-based search and recommendations platform built on Google Cloud. Delivered as a managed service, it requires no infrastructure provisioning or model training, allowing engineering teams to deploy production-grade search and discovery experiences through APIs, SDKs, or a no-code console. Core capabilities include semantic and vector search, retrieval-augmented generation (RAG) for grounding large language model responses in enterprise data, multimodal document indexing across text, HTML, PDFs, and structured data, and a recommendations engine that surfaces personalized content based on user behavior signals. The platform supports faceted filtering, dynamic snippets, safe search, query expansion, and extractive answers, giving teams granular control over result quality and presentation.

Vertex AI Search targets enterprises across retail, media, healthcare, financial services, and technology sectors. It integrates with Google Cloud Storage, BigQuery, Firestore, and third-party sources via connectors, centralizing disparate data into unified search indexes. Retail-specific configurations support product catalog search and "Recommended for You" widgets, while generic and media configurations address internal knowledge bases, document repositories, and content discovery. Access controls, VPC Service Controls, and CMEK encryption address enterprise security and compliance requirements. Horizontal scaling is handled automatically, with the platform adjusting capacity to query volume without manual intervention.