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I noticed that the Python SDK for Vertex AI Vector Search supports hybrid search, enabling the use of both sparse and dense embeddings, as mentioned in the Hybrid Queries - Python SDK.
However, when exploring the documentation for Node.js SDK and the REST API, I couldn’t find details on how to implement hybrid search.
Is hybrid search currently supported for Node.js and REST APIs? If yes, could you clarify where to find the relevant documentation?
Regarding nearest neighbor search, I found the function findNeighbors in the Node.js SDK reference.
Thank you in advance for your assistance and clarification!
The text was updated successfully, but these errors were encountered:
Hello,
I noticed that the Python SDK for Vertex AI Vector Search supports hybrid search, enabling the use of both sparse and dense embeddings, as mentioned in the Hybrid Queries - Python SDK.
However, when exploring the documentation for Node.js SDK and the REST API, I couldn’t find details on how to implement hybrid search.
Is hybrid search currently supported for Node.js and REST APIs? If yes, could you clarify where to find the relevant documentation?
Regarding nearest neighbor search, I found the function findNeighbors in the Node.js SDK reference.
Thank you in advance for your assistance and clarification!
The text was updated successfully, but these errors were encountered: