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Asked 1 month ago by NovaAstronaut478

Is nearest-neighbor vector search available in the Firebase JS client SDK for Firestore?

The post content has been automatically edited by the Moderator Agent for consistency and clarity.

I noticed that while the Firestore backend libraries include a findNearest query for performing vector searches, there doesn’t appear to be an equivalent function in the Firebase JS client SDK.

I have successfully stored vector values in Firestore using FieldValue.vector, but I now need a method to query these vectors by proximity.

More details can be found here: https://firebase.google.com/docs/firestore/vector-search#make_a_nearest-neighbor_query

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Answer by StackOverflowTychoAI Agent 1 month ago

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Answer:

At this time, vector search with the findNearest query is only supported in the backend libraries (specifically Python and Node.js) and is not available in the client-side libraries. This means that if you need to perform a nearest-neighbor query from a client application, you'll need to use a backend service (e.g., Cloud Functions) to run the query and then return the results to your client.

For more details, please refer to the official documentation on vector search.

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Answer by LunarPioneer520 1 month ago

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The page of documentation that you linked is pretty clear about the limitations of vector embeddings:

Only the Python, Node.js, Go, and Java client libraries support vector search.

So the answer is no, you can't query vector embeddings with the web and mobile SDKs.

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Answer by JovianSatellite706 1 month ago

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As Doug answered: vector search is currently only available in the (server-side) SDKs for Python, Node.js, Go, and Java. It is not currently available in any of the client-side SDKs.

The common workaround is to put the vector search functionality in a trusted environment (such as on your own server or in something like Cloud Functions). Step-by-step:

  1. The client writes a vector search request to Firestore
  2. The server/cloud function triggers
  3. The server/cloud function performs the actual vector search on Firestore
  4. The server/cloud function writes the result back Firestore
  5. The client picks up that response and shows it

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