docs auto-sync

qdrant-landing/content/documentation/how_to.md

@@ -508,6 +508,36 @@ client.recreate_collection(
 )
 ```
 
+After upload is done, you can enable indexing by setting `indexing_threshold` to default value(20000):
+
+```http
+PUT /collections/{collection_name}
+
+{
+    "vectors": {
+      "size": 768,
+      "distance": "Cosine"
+    },
+    "hnsw_config": {
+        "indexing_threshold": 20000
+    }
+}
+```
+
+```python
+from qdrant_client import QdrantClient, models
+
+client = QdrantClient("localhost", port=6333)
+
+client.recreate_collection(
+    collection_name="{collection_name}",
+    vectors_config=models.VectorParams(size=768, distance=models.Distance.COSINE),
+    hnsw_config=models.HNSWConfigDiff(
+        indexing_threshold=20000,
+    ),
+)
+```
+
 ### Parallel upload into multiple shards
 
 In Qdrant, each collection is split into shards. Each shard has a separate Write-Ahead-Log (WAL), which is responsible for ordering operations.

qdrant-landing/content/documentation/payload.md

@@ -44,8 +44,7 @@ During the filtering, Qdrant will check the conditions over those values that ma
 
 For example, you will get an empty output if you apply the [range condition](../filtering/#range) on the string data.
 
-Qdrant also allows multiple values of the same type to be stored and applied to the filter at once.
+However, arrays (multiple values of the same type) are treated a little bit different. When we apply a filter to an array, it will succeed if at least one of the values inside the array meets the condition.
-The condition will be considered satisfied if at least one value meets the condition.
 
 The filtering process is discussed in detail in the section [Filtering](../filtering).
 
@@ -79,7 +78,7 @@ Example of single and multiple `float` values:
 
 ### Bool
 
-Bool - is binary value equals to `true` or `false`.
+Bool - binary value. Equals to `true` or `false`.
 
 Example of single and multiple `bool` values:
 
@@ -135,7 +134,7 @@ Example of single and multiple `geo` values:
 Coordinate should be described as an object containing two fields: `lon` - for longitude, and `lat` - for latitude.
 
 ## Create point with payload
-
+REST API ([Schema](https://qdrant.github.io/qdrant/redoc/index.html#tag/points/operation/upsert_points))
 ```http
 PUT /collections/{collection_name}/points
 
@@ -278,19 +277,18 @@ client.clear_payload(
 
 ## Payload indexing
 
-To search more efficiently with filters, Qdrant allows you to specify payload fields as indexed.
+To search more efficiently with filters, Qdrant allows you to create indexes for payload fields by specifying the name and type of field it is intended to be.
-For marked fields Qdrant will build an index for the corresponding types of queries.
 
 The indexed fields also affect the vector index. See [Indexing](../indexing) for details.
 
 In practice, we recommend creating an index on those fields that could potentially constrain the results the most.
-For example, building an index for the object ID (if it is used in the filter) will be much more efficient than an index by its color, which has only a few possible values.
+For example, using an index for the object ID will be much more efficient, being unique for each record, than an index by its color, which has only a few possible values.
 
 In compound queries involving multiple fields, Qdrant will attempt to use the most restrictive index first.
 
 To create index for the field, you can use the following:
 
-REST API
+REST API ([Schema](https://qdrant.github.io/qdrant/redoc/index.html#tag/collections/operation/create_field_index))
 
 ```http
 PUT /collections/{collection_name}/index