docs: Proofread and updated snippets (#1243)

Author: Anush008

qdrant-landing/content/documentation/concepts/explore.md

@@ -1395,7 +1395,7 @@ QdrantClient client =
 client
     .searchMatrixPairsAsync(
         Points.SearchMatrixPoints.newBuilder()
-            .setCollectionName(collectionName)
+            .setCollectionName("{collection_name}")
             .setFilter(Filter.newBuilder().addMust(matchKeyword("color", "red")).build())
             .setSample(10)
             .setLimit(2)
@@ -1448,7 +1448,7 @@ using static Qdrant.Client.Grpc.Conditions;
 
 var client = new QdrantClient("localhost", 6334);
 
-await client.SearchMatrixPairs(
+await client.SearchMatrixPairsAsync(
     collectionName: "{collection_name}",
     filter: MatchKeyword("color", "red"),
     sample: 10,
@@ -1561,7 +1561,7 @@ QdrantClient client =
 client
     .searchMatrixOffsetsAsync(
         SearchMatrixPoints.newBuilder()
-            .setCollectionName(collectionName)
+            .setCollectionName("{collection_name}")
             .setFilter(Filter.newBuilder().addMust(matchKeyword("color", "red")).build())
             .setSample(10)
             .setLimit(2)
@@ -1614,7 +1614,7 @@ using static Qdrant.Client.Grpc.Conditions;
 
 var client = new QdrantClient("localhost", 6334);
 
-await client.SearchMatrixOffsets(
+await client.SearchMatrixOffsetsAsync(
     collectionName: "{collection_name}",
     filter: MatchKeyword("color", "red"),
     sample: 10,

qdrant-landing/content/documentation/concepts/filtering.md

@@ -2158,22 +2158,22 @@ Functionally, it will work with `keyword` and `uuid` indexes exactly the same, b
 {
   "key": "uuid",
   "match": {
-    "uuid": "f47ac10b-58cc-4372-a567-0e02b2c3d479"
+    "value": "f47ac10b-58cc-4372-a567-0e02b2c3d479"
   }
 }
 ```
 
 ```python
 models.FieldCondition(
     key="uuid",
-    match=models.MatchValue(uuid="f47ac10b-58cc-4372-a567-0e02b2c3d479"),
+    match=models.MatchValue(value="f47ac10b-58cc-4372-a567-0e02b2c3d479"),
 )
 ```
 
 ```typescript
 {
     key: 'uuid',
-    match: {uuid: 'f47ac10b-58cc-4372-a567-0e02b2c3d479'}    
+    match: {value: 'f47ac10b-58cc-4372-a567-0e02b2c3d479'}    
 }
 ```
 
@@ -2462,57 +2462,59 @@ models.FieldCondition(
 
 ```typescript
 {
-    key: 'location', 
-    geo_polygon: {
-        exterior: {
-            points: [
-                {
-                    lon: -70.0,
-                    lat: -70.0
-                },
-                {
-                    lon: 60.0,
-                    lat: -70.0
-                },
-                {
-                    lon: 60.0,
-                    lat: 60.0
-                },
-                {
-                    lon: -70.0,
-                    lat: 60.0
-                },
-                {
-                    lon: -70.0,
-                    lat: -70.0
-                }
-            ]
+  key: "location",
+  geo_polygon: {
+    exterior: {
+      points: [
+        {
+          lon: -70.0,
+          lat: -70.0
         },
-        interiors: {
-            points: [
-                {
-                    lon: -65.0,
-                    lat: -65.0
-                },
-                {
-                    lon: 0.0,
-                    lat: -65.0
-                },
-                {
-                    lon: 0.0,
-                    lat: 0.0
-                },
-                {
-                    lon: -65.0,
-                    lat: 0.0
-                },
-                {
-                    lon: -65.0,
-                    lat: -65.0
-                }
-            ]
+        {
+          lon: 60.0,
+          lat: -70.0
+        },
+        {
+          lon: 60.0,
+          lat: 60.0
+        },
+        {
+          lon: -70.0,
+          lat: 60.0
+        },
+        {
+          lon: -70.0,
+          lat: -70.0
         }
-    }
+      ]
+    },
+    interiors: [
+      {
+        points: [
+          {
+            lon: -65.0,
+            lat: -65.0
+          },
+          {
+            lon: 0,
+            lat: -65.0
+          },
+          {
+            lon: 0,
+            lat: 0
+          },
+          {
+            lon: -65.0,
+            lat: 0
+          },
+          {
+            lon: -65.0,
+            lat: -65.0
+          }
+        ]
+      }
+    ]
+  }
 }
 ```
 
@@ -2764,7 +2766,7 @@ models.IsEmptyCondition(
 ```typescript
 {
   is_empty: {
-    key: "reports";
+    key: "reports"
   }
 }
 ```
@@ -2820,7 +2822,7 @@ models.IsNullCondition(
 ```typescript
 {
   is_null: {
-    key: "reports";
+    key: "reports"
   }
 }
 ```

qdrant-landing/content/documentation/concepts/hybrid-queries.md

@@ -296,14 +296,14 @@ import { QdrantClient } from "@qdrant/js-client-rest";
 const client = new QdrantClient({ host: "localhost", port: 6333 });
 
 client.query("{collection_name}", {
-    prefetch: {
-        query: [1, 23, 45, 67], // <------------- small byte vector
-        using: 'mrl_byte',
-        limit: 1000,
-    },
-    query: [0.01, 0.299, 0.45, 0.67, ...], // <-- full vector,
-    using: 'full',
-    limit: 10,
+  prefetch: {
+    query: [1, 23, 45, 67], // <------------- small byte vector
+    using: 'mrl_byte',
+    limit: 1000,
+  },
+  query: [0.01, 0.299, 0.45, 0.67], // <-- full vector,
+  using: 'full',
+  limit: 10,
 });
 ```
 
@@ -628,23 +628,23 @@ import { QdrantClient } from "@qdrant/js-client-rest";
 const client = new QdrantClient({ host: "localhost", port: 6333 });
 
 client.query("{collection_name}", {
+  prefetch: {
     prefetch: {
-        prefetch: {
-            query: [1, 23, 45, 67, ...], // <------------- small byte vector
-            using: 'mrl_byte',
-            limit: 1000,
-        },
-        query: [0.01, 0.45, 0.67, ...],  // <-- full dense vector
-        using: 'full',
-        limit: 100,
+      query: [1, 23, 45, 67], // <------------- small byte vector
+      using: 'mrl_byte',
+      limit: 1000,
     },
-    query: [
-        [0.1, 0.2], // <─┐
-        [0.2, 0.1], // < ├─ multi-vector
-        [0.8, 0.9], // < ┘
-    ],
-    using: 'colbert',
-    limit: 10,
+    query: [0.01, 0.45, 0.67],  // <-- full dense vector
+    using: 'full',
+    limit: 100,
+  },
+  query: [
+    [0.1, 0.2], // <─┐
+    [0.2, 0.1], // < ├─ multi-vector
+    [0.8, 0.9], // < ┘
+  ],
+  using: 'colbert',
+  limit: 10,
 });
 ```
 
@@ -832,7 +832,7 @@ let client = Qdrant::from_url("http://localhost:6334").build()?;
 client
     .query(
         QueryPointsBuilder::new("{collection_name}")
-            .query(Query::new_nearest(PointId::new("43cf51e2-8777-4f52-bc74-c2cbde0c8b04")))
+            .query(Query::new_nearest("43cf51e2-8777-4f52-bc74-c2cbde0c8b04")),
     )
     .await?;
 ```
@@ -943,7 +943,7 @@ let client = Qdrant::from_url("http://localhost:6334").build()?;
 
 client.query(
     QueryPointsBuilder::new("{collection_name}")
-        .query(Query::new_nearest(PointId::new("43cf51e2-8777-4f52-bc74-c2cbde0c8b04")))
+        .query(Query::new_nearest("43cf51e2-8777-4f52-bc74-c2cbde0c8b04"))
         .using("512d-vector")
         .lookup_from(
             LookupLocationBuilder::new("another_collection")

qdrant-landing/content/documentation/concepts/indexing.md

@@ -182,7 +182,7 @@ client.create_payload_index(
 ```
 
 ```typescript
-import { QdrantClient, Schemas } from "@qdrant/js-client-rest";
+import { QdrantClient } from "@qdrant/js-client-rest";
 
 const client = new QdrantClient({ host: "localhost", port: 6333 });
 
@@ -379,7 +379,7 @@ client.create_payload_index(
 ```
 
 ```typescript
-import { QdrantClient, Schemas } from "@qdrant/js-client-rest";
+import { QdrantClient } from "@qdrant/js-client-rest";
 
 const client = new QdrantClient({ host: "localhost", port: 6333 });
 

qdrant-landing/content/documentation/concepts/payload.md

@@ -1386,7 +1386,7 @@ var client = new QdrantClient("localhost", 6334);
 await client.FacetAsync(
     "{collection_name}",
     key: "size",
-    filter: MatchKeyword("color", "red"),
+    filter: MatchKeyword("color", "red")
 );
 ```
 

qdrant-landing/content/documentation/concepts/points.md

@@ -1367,7 +1367,7 @@ client.delete_vectors(
 ```typescript
 client.deleteVectors("{collection_name}", {
   points: [0, 3, 10],
-  vectors: ["text", "image"],
+  vector: ["text", "image"],
 });
 ```
 

qdrant-landing/content/documentation/concepts/vectors.md

@@ -258,6 +258,7 @@ client.upsert("{collection_name}", {
         },
       },
     }
+  ]
 });
 ```
 
@@ -831,17 +832,16 @@ client.query_points(
 ```
 
 ```typescript
-
 import { QdrantClient } from "@qdrant/js-client-rest";
 
 const client = new QdrantClient({ host: "localhost", port: 6333 });
 
 client.query("{collection_name}", {
-    "query": [
-        [-0.013,  0.020, -0.007, -0.111, ...],
-        [-0.030, -0.055,  0.001,  0.072, ...],
-        [-0.041,  0.014, -0.032, -0.062, ...]
-    ]
+  "query": [
+    [-0.013, 0.020, -0.007, -0.111],
+    [-0.030, -0.055, 0.001, 0.072],
+    [-0.041, 0.014, -0.032, -0.062]
+  ]
 });
 ```
 
@@ -855,9 +855,9 @@ let res = client.query(
     QueryPointsBuilder::new("{collection_name}")
         .query(VectorInput::new_multi(
             vec![
-                vec![-0.013,  0.020, -0.007, -0.111, ...],
-                vec![-0.030, -0.055,  0.001,  0.072, ...],
-                vec![-0.041,  0.014, -0.032, -0.062, ...],
+                vec![-0.013,  0.020, -0.007, -0.111],
+                vec![-0.030, -0.055,  0.001,  0.072],
+                vec![-0.041,  0.014, -0.032, -0.062],
             ]
         ))
 ).await?;

qdrant-landing/content/documentation/guides/administration.md

@@ -13,6 +13,7 @@ Qdrant exposes administration tools which enable to modify at runtime the behavi
 
 A locking API enables users to restrict the possible operations on a qdrant process.
 It is important to mention that:
+
 - The configuration is not persistent therefore it is necessary to lock again following a restart.
 - Locking applies to a single node only. It is necessary to call lock on all the desired nodes in a distributed deployment setup.
 

qdrant-landing/content/documentation/guides/distributed_deployment.md

@@ -535,8 +535,7 @@ client.upsert(
 ```
 
 ```typescript
-
-client.upsertPoints("{collection_name}", {
+client.upsert("{collection_name}", {
     points: [
         {
             id: 1111,

qdrant-landing/content/documentation/guides/optimize.md

@@ -10,6 +10,7 @@ aliases:
 Different use cases require different balances between memory usage, search speed, and precision. Qdrant is designed to be flexible and customizable so you can tune it to your specific needs. 
 
 This guide will walk you three main optimization strategies:
+
 - High Speed Search & Low Memory Usage
 - High Precision & Low Memory Usage
 - High Precision & High Speed Search