Hello everyone,
I'm currently exploring Vertex AI Vector Search and I'm particularly interested in its capabilities regarding text to vector conversion (text2vector). I have a couple of questions:
Does Vertex AI Vector Search natively support converting text to vectors?
If it doesn't, are there any No Code solutions or tools that integrate well with Vertex AI for text2vector conversion?
Any insights, resources, or suggestions would be greatly appreciated. Thank you!
Solved! Go to Solution.
You can use any embedding model actually, so yes text2vector should work. You just need to prepare your embeddings to be indexed in Vector Search, and once indexed, you can perform vector search.
You can follow the notebook tutorial below:
You can use any embedding model actually, so yes text2vector should work. You just need to prepare your embeddings to be indexed in Vector Search, and once indexed, you can perform vector search.
You can follow the notebook tutorial below:
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