GCP Vertex AI Vector Search

A GCP Vertex AI Vector Search is a vector database online service within GCP Vertex AI.

• Context:
  • …
• Example(s):
  • Vertex AI Vector Search, ~2023.
  • Vertex AI Matching Engine, ~2022.
  • …
• Counter-Example(s):
  • Pinecone DB.
  • GCP Vertex Feature Store.
  • …
• See: GCP Vertex AI, Vector Database.

---

---

References

2023

• https://cloud.google.com/vertex-ai/docs/matching-engine/overview
  • QUOTE: Vector Search provides the industry's leading high-scale low latency vector database. These vector databases are commonly referred to as vector similarity-matching or an approximate nearest neighbor (ANN) service.

2023

• GBard
  • Vertex AI Matching Engine, now renamed to Vertex AI Vector Search, is a fully managed, high-scale, and low-latency vector similarity matching service. ...

2023

• https://www.datanami.com/2021/05/18/google-cloud-overhauls-ai-with-vertex-launch/
  • QUOTE: Among the new tools that Google Cloud will be providing with Vertex AI include:
    • Vertex Feature Store, a repository to help data science practitioners organize, store, and serve machine learning features;
    • Vertex Model Monitoring, a self-service model tool that lets users monitor the quality of machine learning models over time;
    • Vertex Matching Engine, which delivers a vector-based similarity search;
    • Vertex ML Metadata, which allows users to record the metadata and artifacts produced by the machine learning system;
    • Vertex TensorBoard, which lets users track, visualize, and compare machine learning experiments;
    • And Vertex Pipelines, a Kubeflow-based offering for automating machine learning pipelines.

---