Vector Search
Vector Search is Google Cloud Vertex AI’s managed vector search engine built on the ScaNN algorithm. It provides scalable, high‑performance vector similarity search for semantic search, recommendations, and generative AI applications, offering enterprise‑grade availability and the same underlying technology used in Google products like Search, YouTube, and Google Play.
About this tool
Vector Search
Brand: Google Cloud
Category: Curated Resource Lists
Source: instaclustr.com
Official Product Page: Vertex AI Vector Search
Description
Vector Search is Google Cloud Vertex AI’s fully managed vector search engine built on the ScaNN (Scalable Nearest Neighbors) algorithm. It provides scalable, high‑performance vector similarity search to power semantic search, recommendations, and generative AI applications. It uses the same underlying technology that backs major Google products such as Search, YouTube, and Google Play, and is designed for enterprise‑grade reliability.
Features
- Managed vector search service running on Google Cloud Vertex AI.
- ScaNN‑based indexing and retrieval for efficient approximate nearest-neighbor search over high-dimensional vectors.
- High-performance vector similarity search suitable for low-latency, high‑throughput workloads.
- Scalable architecture that can handle large collections of embeddings and growing traffic.
- Semantic search support by storing and querying embedding vectors from language or multimodal models.
- Recommendation use cases via similarity search over user/item embeddings.
- Generative AI integration for RAG and other workflows that require retrieving semantically similar content as model context.
- Enterprise‑grade availability and reliability, leveraging Google Cloud’s production infrastructure.
- Built on the same core technology used internally at Google for products like Search, YouTube, and Google Play.
Pricing
The provided content does not include pricing or plan details. Refer to Google Cloud’s official Vertex AI pricing page for current Vector Search costs.
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