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Showing content from https://cloud.google.com/nodejs/docs/reference/firestore/latest/firestore/vectorquerysnapshot below:

Class VectorQuerySnapshot (7.11.0) | Node.js client library

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A VectorQuerySnapshot contains zero or more QueryDocumentSnapshot objects representing the results of a query. The documents can be accessed as an array via the docs property or enumerated using the forEach method. The number of documents can be determined via the empty and size properties.

get docs(): Array<QueryDocumentSnapshot<AppModelType, DbModelType>>;

An array of all the documents in this VectorQuerySnapshot.

let query = firestore.collection('col')
  .findNearest("embedding", [0, 0], {limit: 10, distanceMeasure: "EUCLIDEAN"});

query.get().then(querySnapshot => {
  let docs = querySnapshot.docs;
  for (let doc of docs) {
    console.log(`Document found at path: ${doc.ref.path}`);
  }
});

true if there are no documents in the VectorQuerySnapshot.

let query = firestore.collection('col')
  .findNearest("embedding", [0, 0], {limit: 10, distanceMeasure: "EUCLIDEAN"});

query.get().then(querySnapshot => {
  if (querySnapshot.empty) {
    console.log('No documents found.');
  }
});

get query(): VectorQuery<AppModelType, DbModelType>;

The VectorQuery on which you called get() in order to get this VectorQuerySnapshot.

let query = firestore.collection('col').where('foo', '==', 'bar');

query.findNearest("embedding", [0, 0], {limit: 10, distanceMeasure: "EUCLIDEAN"})
  .get().then(querySnapshot => {
    console.log(`Returned first batch of results`);
    let query = querySnapshot.query;
    return query.offset(10).get();
  }).then(() => {
  console.log(`Returned second batch of results`);
  });

get readTime(): Timestamp;

The time this VectorQuerySnapshot was obtained.

let query = firestore.collection('col')
  .findNearest("embedding", [0, 0], {limit: 10, distanceMeasure: "EUCLIDEAN"});

query.get().then((querySnapshot) => {
  let readTime = querySnapshot.readTime;
  console.log(`Query results returned at '${readTime.toDate()}'`);
});

The number of documents in the VectorQuerySnapshot.

let query = firestore.collection('col')
  .findNearest("embedding", [0, 0], {limit: 10, distanceMeasure: "EUCLIDEAN"});

query.get().then(querySnapshot => {
  console.log(`Found ${querySnapshot.size} documents.`);
});

docChanges(): Array<DocumentChange<AppModelType, DbModelType>>;

Returns an array of the documents changes since the last snapshot. If this is the first snapshot, all documents will be in the list as added changes.

An array of the documents changes since the last snapshot.

let query = firestore.collection('col')
  .findNearest("embedding", [0, 0], {limit: 10, distanceMeasure: "EUCLIDEAN"});

query.get().then(querySnapshot => {
  let changes = querySnapshot.docChanges();
  for (let change of changes) {
    console.log(`A document was ${change.type}.`);
  }
});

forEach(callback: (result: firestore.QueryDocumentSnapshot<AppModelType, DbModelType>) => void, thisArg?: unknown): void;

Enumerates all of the documents in the VectorQuerySnapshot. This is a convenience method for running the same callback on each QueryDocumentSnapshot that is returned.

A callback to be called with a QueryDocumentSnapshot for each document in the snapshot.

The this binding for the callback..

let query = firestore.collection('col')
  .findNearest("embedding", [0, 0], {limit: 10, distanceMeasure: "EUCLIDEAN"});

query.get().then(querySnapshot => {
  querySnapshot.forEach(documentSnapshot => {
    console.log(`Document found at path: ${documentSnapshot.ref.path}`);
  });
});

isEqual(other: firestore.VectorQuerySnapshot<AppModelType, DbModelType>): boolean;

Returns true if the document data in this VectorQuerySnapshot is equal to the provided value.

The value to compare against.

true if this VectorQuerySnapshot is equal to the provided value.

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Last updated 2025-08-07 UTC.

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