chore: cleanup docs and tests related to vector query

dev/src/reference/query.ts

@@ -620,7 +620,7 @@ export class Query<
    * // Returns the closest 10 documents whose Euclidean distance from their 'embedding' fields are closed to [41, 42].
    * const vectorQuery = col.findNearest('embedding', [41, 42], {limit: 10, distanceMeasure: 'EUCLIDEAN'});
    *
-   * const querySnapshot = await aggregateQuery.get();
+   * const querySnapshot = await vectorQuery.get();
    * querySnapshot.forEach(...);
    * ```
    *

dev/system-test/firestore.ts

@@ -2382,7 +2382,7 @@ describe('Query class', () => {
     });
 
     describe('requesting computed distance', () => {
-      it('supports COSINE distance', async () => {
+      it('supports requesting computed COSINE distance', async () => {
         const indexTestHelper = new IndexTestHelper(firestore);
 
         const collectionReference = await indexTestHelper.setTestDocs({
@@ -2419,7 +2419,7 @@ describe('Query class', () => {
         expect(res.docs[3].get('distance')).to.equal(2);
       });
 
-      it('supports EUCLIDEAN distance', async () => {
+      it('supports requesting computed EUCLIDEAN distance', async () => {
         const indexTestHelper = new IndexTestHelper(firestore);
 
         const collectionReference = await indexTestHelper.setTestDocs({
@@ -2463,7 +2463,7 @@ describe('Query class', () => {
         expect(res.docs[3].get('distance')).to.equal(100);
       });
 
-      it('supports DOT_PRODUCT distance', async () => {
+      it('supports requesting computed DOT_PRODUCT distance', async () => {
         const indexTestHelper = new IndexTestHelper(firestore);
 
         const collectionReference = await indexTestHelper.setTestDocs({
@@ -2538,7 +2538,7 @@ describe('Query class', () => {
         expect(res.docs[0].get('distance')).to.equal(1);
       });
 
-      it('supports select queries', async () => {
+      it('supports requesting computed distance in select queries', async () => {
         const indexTestHelper = new IndexTestHelper(firestore);
 
         const collectionReference = await indexTestHelper.setTestDocs({
@@ -2579,7 +2579,7 @@ describe('Query class', () => {
     });
 
     describe('querying with distance threshold', () => {
-      it('supports COSINE distance', async () => {
+      it('supports querying with distance threshold using COSINE distance', async () => {
         const indexTestHelper = new IndexTestHelper(firestore);
 
         const collectionReference = await indexTestHelper.setTestDocs({
@@ -2613,7 +2613,7 @@ describe('Query class', () => {
         ).to.be.true;
       });
 
-      it('supports EUCLIDEAN distance', async () => {
+      it('supports querying with distance threshold using EUCLIDEAN distance', async () => {
         const indexTestHelper = new IndexTestHelper(firestore);
 
         const collectionReference = await indexTestHelper.setTestDocs({
@@ -2647,7 +2647,7 @@ describe('Query class', () => {
           .to.be.true;
       });
 
-      it('supports DOT_PRODUCT distance', async () => {
+      it('supports querying with distance threshold using DOT_PRODUCT distance', async () => {
         const indexTestHelper = new IndexTestHelper(firestore);
 
         const collectionReference = await indexTestHelper.setTestDocs({
@@ -2680,7 +2680,7 @@ describe('Query class', () => {
         ).to.be.true;
       });
 
-      it('works with distance threshold', async () => {
+      it('works with distance result field', async () => {
         const indexTestHelper = new IndexTestHelper(firestore);
 
         const collectionReference = await indexTestHelper.setTestDocs({

dev/test/vector-query.ts

@@ -224,7 +224,7 @@ describe('Vector(findNearest) query interface', () => {
         .isEqual(
           queryB.findNearest({
             vectorField: 'embedding',
-            queryVector: [40, 42],
+            queryVector: [40, 41, 42],
             distanceMeasure: 'COSINE',
             limit: 1000,
           })