Google Cloud Vertex AI Vector Search
Google Cloud Platform offers vector search as part of its Vertex AI suite, enabling scalable and integrated vector search capabilities for AI-driven applications.
About this tool
Google Cloud Vertex AI Vector Search
Category: Vector Database Engines
Tags: cloud-native, vector-search, ai, scalable
Description
Google Cloud Vertex AI Vector Search is part of the Vertex AI suite on Google Cloud Platform, offering scalable and integrated vector search capabilities for AI-driven applications. It leverages advanced AI, natural language processing, and large language models (LLMs) to enable powerful information retrieval, semantic search, and recommendations across various types of data.
Features
- Deep Information Retrieval: Utilizes AI, NLP, and LLMs to understand user intent and deliver relevant search results.
- Custom Search Applications: Allows creation of search apps on data you control, delivering Google-quality search experiences.
- RAG Support: Retrieved search results can be used to ground generative AI LLM responses (Retrieval-Augmented Generation).
- Recommendations Engine: Build recommendation apps that suggest relevant content based on user activity and data context.
- Easy Setup: Use existing Google Accounts and Cloud projects. Setup apps and data stores quickly via console or API.
- Flexible Data Ingestion: Import data from website URLs, BigQuery, Cloud Storage, FHIR R4 (healthcare), or RESTful APIs. Third-party data source syncing is available (in Preview).
- Hybrid Search: Supports keyword and semantic (vector) search across structured, unstructured, and media-specific data.
- Multiple Data Store Types:
- Website content
- Structured data (e.g., product catalogs, movie databases)
- Unstructured data (documents, images)
- Media data (videos, news, music, podcasts)
- Healthcare data (FHIR R4)
- Integration: Embeddable JavaScript widgets and API samples for integrating search and recommendations into websites and apps.
- Management and Monitoring: Tools to view analytics, monitor API usage, refresh and sync data, manage schemas, and perform audit logging.
- Access Control: Supports IAM for managing access to search apps and data stores.
- Developer Flexibility: Use Google Cloud Console, Vertex AI Agent Builder API, or both for configuration and integration.
Pricing
No specific pricing information is provided in the available content. For detailed pricing, refer to the Google Cloud Pricing page or the official documentation.
Loading more......
Information
Categories
Tags
Similar Products
6 result(s)AstraDB (also known as Astra DB by DataStax) is a cloud-native vector database built on Apache Cassandra, supporting real-time AI applications with scalable vector search. It is designed for large-scale deployments and features a user-friendly Data API, robust vector capabilities, and automation for AI-powered applications.
A cloud-native vector database management system designed for efficient storage and retrieval of vector embeddings. Directly relevant as a vector database platform.
Microsoft Azure offers vector search support across multiple database services, enabling developers to leverage vector search in cloud-native and enterprise scenarios.
HAKES is a system designed for efficient data search using embedding vectors at scale, making it a relevant solution for vector database applications.
Apache Cassandra is a distributed NoSQL database that is adding native support for high-dimensional vector storage and approximate nearest neighbor search, making it a scalable choice for AI and vector search workloads.
A distributed vector database designed for scalable and efficient vector similarity search. It is purpose-built for handling large-scale vector data and search workloads.