GCP Blog: Find Anything Blazingly Fast With Google's Vector Search Technology

This incredible new demo and tutorial from Kaz Sato (Developer Advocate at Google Cloud) and Tomoyuki Chikanaga (Chief Architect at Groovenauts) showcases GCP's Vertex AI Matching Engine, with one of the demos using GDELT's Global Similarity Graph (GSG) Document Embeddings to perform realtime semantic search of news content!

For those interested in the code, here is the GitHub repo for the demo, including the GSG encoder container.

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