Regenerate snippet .md files

Run `./generate-md.py` to update generated markdown files after semi-manual changes made in the previous commit. This commit serves as a gist of fixed issues found in snippets. (it's easier to review 250 lines diff rather than 31k lines diff, isn't it?)
2026-10-07 11:58:31 +02:00 · 2025-11-28 22:02:34 +00:00
parent 74a785218b
commit 178a9bae72
164 changed files with 248 additions and 220 deletions
@@ -1,6 +1,5 @@
 ```rust
 use qdrant_client::qdrant::{Condition, Filter, QueryPointsBuilder, SearchParamsBuilder};
-use qdrant_client::Qdrant;

 client
    .query(
@@ -1,6 +1,6 @@
 ```rust
 use qdrant_client::Qdrant;
-use qdrant_client::qdrant::{LookupLocationBuilder, PointId, Query, QueryPointsBuilder};
+use qdrant_client::qdrant::{LookupLocationBuilder, Query, QueryPointsBuilder};

 let client = Qdrant::from_url("http://localhost:6334").build()?;

@@ -1,13 +1,13 @@
 ```rust
 use qdrant_client::Qdrant;
-use qdrant_client::qdrant::{Condition, Filter, PointId, Query, QueryPointsBuilder};
+use qdrant_client::qdrant::{PointId, Query, QueryPointsBuilder};

 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(PointId::from("43cf51e2-8777-4f52-bc74-c2cbde0c8b04")))
    )
    .await?;
 ```
@@ -1,6 +1,6 @@
 ```rust
 use qdrant_client::Qdrant;
-use qdrant_client::qdrant::{PrefetchQueryBuilder, Query, QueryPointsBuilder};
+use qdrant_client::qdrant::{MmrBuilder, Query, QueryPointsBuilder};

 let client = Qdrant::from_url("http://localhost:6334").build()?;

@@ -5,7 +5,7 @@ const client = new QdrantClient({ host: "localhost", port: 6333 });

 client.query("{collection_name}", {
  query: {
-    nearest: [0.01, 0.45, 0.67, ...], // search vector
+    nearest: [0.01, 0.45, 0.67], // search vector
    mmr: {
      diversity: 0.5, // 0.0 - relevance; 1.0 - diversity
      candidates_limit: 100 // num of candidates to preselect
@@ -1,6 +1,6 @@
 ```rust
 use qdrant_client::Qdrant;
-use qdrant_client::qdrant::{Rrf, PrefetchQueryBuilder, Query, QueryPointsBuilder};
+use qdrant_client::qdrant::{RrfBuilder, Query, QueryPointsBuilder};

 let client = Qdrant::from_url("http://localhost:6334").build()?;

@@ -8,6 +8,6 @@ client.query(
    QueryPointsBuilder::new("{collection_name}")
        // .add_prefetch(...)  <┐
        // .add_prefetch(...)  <┴─ 2+ prefetches here
-        .query(Query::new_rrf(RrfBuilder::with_k(60))
+        .query(Query::new_rrf(RrfBuilder::with_k(60)))
 ).await?;
 ```
@@ -7,7 +7,7 @@ await client.QueryAsync(
  collectionName: "{collection_name}",
  query: new float[][] {
    [-0.013f, 0.020f, -0.007f, -0.111f],
-    [-0.030f, -0.055f, 0.001 , 0.072f],
+    [-0.030f, -0.055f, 0.001f, 0.072f],
    [-0.041f, 0.014f, -0.032f, -0.062f],
  }
 );
@@ -1,6 +1,8 @@
 ```python
 from qdrant_client import QdrantClient, models

+client = QdrantClient(url="http://localhost:6333")
+
 sampled = client.query_points(
    collection_name="{collection_name}",
    query=models.SampleQuery(sample=models.Sample.RANDOM)
@@ -1,6 +1,6 @@
 ```rust
 use qdrant_client::Qdrant;
-use qdrant_client::qdrant::{Query, QueryPointsBuilder};
+use qdrant_client::qdrant::{Query, QueryPointsBuilder, Sample};

 let client = Qdrant::from_url("http://localhost:6334").build()?;

@@ -17,6 +17,7 @@ import io.qdrant.client.grpc.Points.GeoDistance;
 import io.qdrant.client.grpc.Points.PrefetchQuery;
 import io.qdrant.client.grpc.Points.QueryPoints;
 import io.qdrant.client.grpc.Points.SumExpression;
+import java.util.Map;

 QdrantClient client =
  new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
@@ -4,7 +4,7 @@ from qdrant_client import QdrantClient, models
 geo_boosted = client.query_points(
    collection_name="{collection_name}",
    prefetch=models.Prefetch(
-        query=[0.2, 0.8, ...],  # <-- dense vector
+        query=[0.1, 0.45, 0.67],  # <-- dense vector
        limit=50
    ),
    query=models.FormulaQuery(
@@ -3,9 +3,9 @@ import { QdrantClient } from "@qdrant/js-client-rest";

 const client = new QdrantClient({ host: "localhost", port: 6333 });

-const distance_boosted = await client.query(collectionName, {
+const distance_boosted = await client.query("{collection_name}", {
  prefetch: {
-    query: [0.2, 0.8, ...],
+    query: [0.1, 0.45, 0.67],
    limit: 50
  },
  query: {
@@ -4,7 +4,7 @@ from qdrant_client import QdrantClient, models
 tag_boosted = client.query_points(
    collection_name="{collection_name}",
    prefetch=models.Prefetch(
-        query=[0.2, 0.8, ...],  # <-- dense vector
+        query=[0.1, 0.45, 0.67],  # <-- dense vector
        limit=50
    ),
    query=models.FormulaQuery(
@@ -3,7 +3,7 @@ import { QdrantClient } from "@qdrant/js-client-rest";

 const client = new QdrantClient({ host: "localhost", port: 6333 });

-const tag_boosted = await client.query(collectionName, {
+const tag_boosted = await client.query("{collection_name}", {
  prefetch: {
    query: [0.2, 0.8, 0.1, 0.9],
    limit: 50
@@ -8,7 +8,10 @@ await client.QueryAsync(
    collectionName: "{collection_name}",
    prefetch:
    [
-        new PrefetchQuery { Query = new float[] { 0.2f, 0.8f, ..., .. }, Limit = 50 }, // <-- dense vector
+        new PrefetchQuery {
+            Query = new float[] { 0.1f, 0.45f, 0.67f }, // <-- dense vector
+            Limit = 50
+        },
    ],
    query: new Formula
     {
@@ -14,7 +14,7 @@ client.Query(context.Background(), &qdrant.QueryPoints{
    CollectionName: "{collection_name}",
    Prefetch: []*qdrant.PrefetchQuery{
        {
-            Query: qdrant.NewQuery(0.2, 0.8, .., ...), // <-- dense vector
+            Query: qdrant.NewQuery(0.1, 0.45, 0.67), // <-- dense vector
            Limit: qdrant.PtrOf(uint64(50)),
        },
    },
@@ -22,10 +22,10 @@ QdrantClient client =

 List<ScoredPoint> time_boosted = client.queryAsync(
    QueryPoints.newBuilder()
-        .setCollectionName({collection_name})
+        .setCollectionName("{collection_name}")
        .addPrefetch(
            PrefetchQuery.newBuilder()
-                .setQuery(nearest(0.2f, 0.8f, .., ..))  // <-- dense vector
+                .setQuery(nearest(0.1f, 0.45f, 0.67f))  // <-- dense vector
                .setLimit(50)
                .build())
        .setQuery(
@@ -4,7 +4,7 @@ from qdrant_client import QdrantClient, models
 time_boosted = client.query_points(
    collection_name="{collection_name}",
    prefetch=models.Prefetch(
-        query=[0.2, 0.8, ...],  # <-- dense vector
+        query=[0.1, 0.45, 0.67],  # <-- dense vector
        limit=50
    ),
    query=models.FormulaQuery(
@@ -10,7 +10,7 @@ let _geo_boosted = client.query(
    QueryPointsBuilder::new("{collection_name}")
            .add_prefetch(
                PrefetchQueryBuilder::default()
-                    .query(vec![0.2, 0.8, .., ..]) // <-- dense vector
+                    .query(vec![0.1, 0.45, 0.67]) // <-- dense vector
                    .limit(50u64),
            )
            .query(
@@ -3,9 +3,9 @@ import { QdrantClient } from "@qdrant/js-client-rest";

 const client = new QdrantClient({ host: "localhost", port: 6333 });

-const time_boosted = await client.query(collectionName, {
+const time_boosted = await client.query('collectionName', {
  prefetch: {
-    query: [0.2, 0.8, ...], // <-- dense vector
+    query: [0.1, 0.45, 0.67], // <-- dense vector
    limit: 50
  },
   query: {
@@ -1,6 +1,6 @@
 ```rust
 use qdrant_client::Qdrant;
-use qdrant_client::qdrant::{Condition, Filter, Query, QueryPointsBuilder};
+use qdrant_client::qdrant::{Query, QueryPointsBuilder};

 let client = Qdrant::from_url("http://localhost:6334").build()?;

@@ -1,6 +1,5 @@
 ```rust
 use qdrant_client::qdrant::{with_payload_selector::SelectorOptions, QueryPointsBuilder};
-use qdrant_client::Qdrant;

 client
    .query(