From 8b8fd6c86182ca7e0f033b3cbaa555ad93e8c143 Mon Sep 17 00:00:00 2001
From: Arnaud Gourlay <arnaud.gourlay@gmail.com>
Date: Thu, 7 Dec 2023 20:47:32 +0100
Subject: [PATCH] search example

---
 .../content/documentation/concepts/search.md  | 69 ++++++++++++++++++-
 1 file changed, 68 insertions(+), 1 deletion(-)

diff --git a/qdrant-landing/content/documentation/concepts/search.md b/qdrant-landing/content/documentation/concepts/search.md
index 6f880d935..b8cfeee6e 100644
--- a/qdrant-landing/content/documentation/concepts/search.md
+++ b/qdrant-landing/content/documentation/concepts/search.md
@@ -254,7 +254,74 @@ Search is processing only among vectors with the same name.
 
 If the collection was created with sparse vectors, the name of the sparse vector to use for searching should be provided:
 
-TODO: add examples
+```http
+POST /collections/{collection_name}/points/search
+{
+    "vector": {
+        "name": "text",
+        "vector": {
+            "indices": [6, 7],
+            "values": [1.0, 2.0]
+        }    
+    },
+    "limit": 3
+}
+```
+
+```python
+from qdrant_client import QdrantClient
+from qdrant_client.http import models
+
+client = QdrantClient("localhost", port=6333)
+
+client.search(
+    collection_name="{collection_name}",
+    query_vector=models.NamedSparseVector(
+        name="text",
+        vector=models.SparseVector(
+            indices=[1, 7],
+            values=[2.0, 1.0],
+        ),
+    ),
+    limit=3,
+)
+```
+
+```typescript
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+const client = new QdrantClient({ host: "localhost", port: 6333 });
+
+client.search("{collection_name}", {
+  vector: {
+    name: "text",
+    vector: {
+        indices: [1, 7],
+        values: [2.0, 1.0]
+    },
+  },
+  limit: 3,
+});
+```
+
+```rust
+use qdrant_client::{client::QdrantClient, client::Vector, qdrant::SearchPoints};
+
+let client = QdrantClient::from_url("http://localhost:6334").build()?;
+
+let sparse_vector: Vector = vec![(1, 2.0), (7, 1.0)].into();
+
+client
+    .search_points(&SearchPoints {
+        collection_name: "{collection_name}".to_string(),
+        vector_name: Some("text".to_string()),
+        sparse_indices: sparse_vector.indices,
+        vector: sparse_vector.data,
+        limit: 3,
+        ..Default::default()
+    })
+    .await?;
+```
 
 ### Filtering results by score