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Vectors with Next-Gen PostgreSQL (AlloyDB and pgvector)
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In this tutorial, we're exploring the world of AlloyDB, a next-generation managed version of Postgres on Google Cloud. We can adapt AlloyDB's impressive speed and performance capabilities to vector embedding and machine learning database use cases, as demonstrated in the video.
We'll also touch on the Vertex AI Embedding APIs to generate example vectors, demonstrating how AlloyDB and machine learning APIs can work hand-in-hand to achieve your analytical needs.
If you are a cloud, machine learning, or software engineer you’ll probably find our wide range of YouTube tutorials, demonstrations, and walkthroughs useful - please consider subscribing to support the channel.
0:00 Conceptual Overview
1:35 AlloyDB Cluster and Instance
2:35 Pgweb
4:57 Postgres Data
6:16 Python Script
8:11 Vector Similarity
We'll also touch on the Vertex AI Embedding APIs to generate example vectors, demonstrating how AlloyDB and machine learning APIs can work hand-in-hand to achieve your analytical needs.
If you are a cloud, machine learning, or software engineer you’ll probably find our wide range of YouTube tutorials, demonstrations, and walkthroughs useful - please consider subscribing to support the channel.
0:00 Conceptual Overview
1:35 AlloyDB Cluster and Instance
2:35 Pgweb
4:57 Postgres Data
6:16 Python Script
8:11 Vector Similarity
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