From 5d5ec2985db97636f0487669d8880a3c7c00bef9 Mon Sep 17 00:00:00 2001
From: Daniel Boros <dancixx@gmail.com>
Date: Thu, 13 Nov 2025 12:35:52 +0100
Subject: [PATCH] feat: add rust snippets

---
 .../snippets/inference/cohere-query/rust.md   | 25 +++++++++
 .../snippets/inference/cohere-upsert/rust.md  | 25 +++++++++
 .../snippets/inference/ingest/rust.md         | 23 +++++++++
 .../snippets/inference/jinaai-query/rust.md   | 25 +++++++++
 .../snippets/inference/jinaai-upsert/rust.md  | 25 +++++++++
 .../snippets/inference/multiple/rust.md       | 51 +++++++++++++++++++
 .../snippets/inference/openai-query/rust.md   | 25 +++++++++
 .../snippets/inference/openai-upsert/rust.md  | 25 +++++++++
 .../headless/snippets/inference/query/rust.md | 22 ++++++++
 9 files changed, 246 insertions(+)
 create mode 100644 qdrant-landing/content/documentation/headless/snippets/inference/cohere-query/rust.md
 create mode 100644 qdrant-landing/content/documentation/headless/snippets/inference/cohere-upsert/rust.md
 create mode 100644 qdrant-landing/content/documentation/headless/snippets/inference/ingest/rust.md
 create mode 100644 qdrant-landing/content/documentation/headless/snippets/inference/jinaai-query/rust.md
 create mode 100644 qdrant-landing/content/documentation/headless/snippets/inference/jinaai-upsert/rust.md
 create mode 100644 qdrant-landing/content/documentation/headless/snippets/inference/multiple/rust.md
 create mode 100644 qdrant-landing/content/documentation/headless/snippets/inference/openai-query/rust.md
 create mode 100644 qdrant-landing/content/documentation/headless/snippets/inference/openai-upsert/rust.md
 create mode 100644 qdrant-landing/content/documentation/headless/snippets/inference/query/rust.md

diff --git a/qdrant-landing/content/documentation/headless/snippets/inference/cohere-query/rust.md b/qdrant-landing/content/documentation/headless/snippets/inference/cohere-query/rust.md
new file mode 100644
index 000000000..5e5a3bb20
--- /dev/null
+++ b/qdrant-landing/content/documentation/headless/snippets/inference/cohere-query/rust.md
@@ -0,0 +1,25 @@
+```rust
+use qdrant_client::{
+    Qdrant, QdrantError,
+    qdrant::{Document, Query, QueryPointsBuilder, Value},
+};
+use std::collections::HashMap;
+
+let client = Qdrant::from_url("http://localhost:6333").build().unwrap();
+
+let mut options = HashMap::<String, Value>::new();
+options.insert("cohere-api-key".to_string(), "<YOUR_COHERE_API_KEY>".into());
+options.insert("output_dimension".to_string(), 512.into());
+
+client
+    .query(
+        QueryPointsBuilder::new("<your-collection_name>")
+            .query(Query::new_nearest(Document {
+                text: "a green square".into(),
+                model: "cohere/embed-v4.0".into(),
+                options,
+            }))
+            .build(),
+    )
+    .await?;
+```
diff --git a/qdrant-landing/content/documentation/headless/snippets/inference/cohere-upsert/rust.md b/qdrant-landing/content/documentation/headless/snippets/inference/cohere-upsert/rust.md
new file mode 100644
index 000000000..8796f6dd4
--- /dev/null
+++ b/qdrant-landing/content/documentation/headless/snippets/inference/cohere-upsert/rust.md
@@ -0,0 +1,25 @@
+```rust
+use qdrant_client::{
+    Payload, Qdrant, QdrantError,
+    qdrant::{Document, PointStruct, UpsertPointsBuilder},
+};
+use std::collections::HashMap;
+
+let client = Qdrant::from_url("http://localhost:6333").build()?;
+let mut options = HashMap::new();
+options.insert("cohere-api-key".to_string(), "<YOUR_COHERE_API_KEY>".into());
+options.insert("output_dimension".to_string(), 512.into());
+
+client
+    .upsert_points(UpsertPointsBuilder::new("<your-collection>",
+        vec![
+            PointStruct::new(1,
+                Document {
+                  text: "Recipe for baking chocolate chip cookies requires flour, sugar, eggs, and chocolate chips.".into(),
+                  model: "openai/text-embedding-3-small".into(),
+                  options,
+                  },
+                Payload::default())
+            ]).wait(true))
+        .await?;
+```
diff --git a/qdrant-landing/content/documentation/headless/snippets/inference/ingest/rust.md b/qdrant-landing/content/documentation/headless/snippets/inference/ingest/rust.md
new file mode 100644
index 000000000..921d2e56f
--- /dev/null
+++ b/qdrant-landing/content/documentation/headless/snippets/inference/ingest/rust.md
@@ -0,0 +1,23 @@
+```rust
+use qdrant_client::{
+    Payload, Qdrant, QdrantError,
+    qdrant::{Document, PointStruct, UpsertPointsBuilder},
+};
+use std::collections::HashMap;
+
+let client = Qdrant::from_url("http://localhost:6333").build()?;
+
+client
+    .upsert_points(UpsertPointsBuilder::new("<your-collection>",
+        vec![
+            PointStruct::new(1,
+                HashMap::from([("my-bm25-vector".to_string(),
+                    Document {
+                      text: "Recipe for baking chocolate chip cookies".into(),
+                      model: "qdrant/bm25".into(),
+                      options: HashMap::new(),
+                      }.into())]),
+                Payload::default())
+            ]))
+        .await?;
+```
diff --git a/qdrant-landing/content/documentation/headless/snippets/inference/jinaai-query/rust.md b/qdrant-landing/content/documentation/headless/snippets/inference/jinaai-query/rust.md
new file mode 100644
index 000000000..a0aa94f06
--- /dev/null
+++ b/qdrant-landing/content/documentation/headless/snippets/inference/jinaai-query/rust.md
@@ -0,0 +1,25 @@
+```rust
+use qdrant_client::{
+    Qdrant, QdrantError,
+    qdrant::{Document, Query, QueryPointsBuilder, Value},
+};
+use std::collections::HashMap;
+
+let client = Qdrant::from_url("http://localhost:6333").build().unwrap();
+
+let mut options = HashMap::<String, Value>::new();
+options.insert("jina-api-key".to_string(), "<YOUR_JINAAI_API_KEY>".into());
+options.insert("dimensions".to_string(), 512.into());
+
+client
+    .query(
+        QueryPointsBuilder::new("<your-collection_name>")
+            .query(Query::new_nearest(Document {
+                text: "Mission to Mars".into(),
+                model: "jinaai/jina-clip-v2".into(),
+                options,
+            }))
+            .build(),
+    )
+    .await?;
+```
diff --git a/qdrant-landing/content/documentation/headless/snippets/inference/jinaai-upsert/rust.md b/qdrant-landing/content/documentation/headless/snippets/inference/jinaai-upsert/rust.md
new file mode 100644
index 000000000..82de65108
--- /dev/null
+++ b/qdrant-landing/content/documentation/headless/snippets/inference/jinaai-upsert/rust.md
@@ -0,0 +1,25 @@
+```rust
+use qdrant_client::{
+    Payload, Qdrant, QdrantError,
+    qdrant::{Image, PointStruct, UpsertPointsBuilder},
+};
+use std::collections::HashMap;
+
+let client = Qdrant::from_url("http://localhost:6333").build()?;
+let mut options = HashMap::new();
+options.insert("jina-api-key".to_string(), "<YOUR_JINAAI_API_KEY>".into());
+options.insert("dimensions".to_string(), 512.into());
+
+client
+    .upsert_points(UpsertPointsBuilder::new("<your-collection>",
+        vec![
+            PointStruct::new(1,
+                Image {
+                  image: Some("https://qdrant.tech/example.png".into()),
+                  model: "jinaai/jina-clip-v2".into(),
+                  options,
+                  },
+                Payload::default())
+            ]).wait(true))
+        .await?;
+```
diff --git a/qdrant-landing/content/documentation/headless/snippets/inference/multiple/rust.md b/qdrant-landing/content/documentation/headless/snippets/inference/multiple/rust.md
new file mode 100644
index 000000000..93d34df1e
--- /dev/null
+++ b/qdrant-landing/content/documentation/headless/snippets/inference/multiple/rust.md
@@ -0,0 +1,51 @@
+```rust
+use qdrant_client::{
+    Payload, Qdrant, QdrantError,
+    qdrant::{Document, PointStruct, UpsertPointsBuilder, Vectors},
+};
+use std::collections::HashMap;
+
+let client = Qdrant::from_url("http://localhost:6333").build()?;
+
+let mut jina_options = HashMap::new();
+jina_options.insert("jina-api-key".to_string(), "<YOUR_JINAAI_API_KEY>".into());
+jina_options.insert("dimensions".to_string(), 512.into());
+
+client
+    .upsert_points(
+        UpsertPointsBuilder::new(
+            "<your-collection>",
+            vec![PointStruct::new(
+                1,
+                NamedVectors::default()
+                    .add_vector(
+                        "image",
+                        Image {
+                            image: Some("https://qdrant.tech/example.png".into()),
+                            model: "jinaai/jina-clip-v2".into(),
+                            options: jina_options,
+                        },
+                    )
+                    .add_vector(
+                        "text",
+                        Document {
+                            text: "Mars, the red planet".into(),
+                            model: "sentence-transformers/all-minilm-l6-v2".into(),
+                            options: HashMap::new(),
+                        },
+                    )
+                    .add_vector(
+                        "bm25",
+                        Document {
+                            text: "How to bake cookies?".into(),
+                            model: "qdrant/bm25".into(),
+                            options: HashMap::new(),
+                        },
+                    ),
+                Payload::default(),
+            )],
+        )
+        .wait(true),
+    )
+    .await?;
+```
diff --git a/qdrant-landing/content/documentation/headless/snippets/inference/openai-query/rust.md b/qdrant-landing/content/documentation/headless/snippets/inference/openai-query/rust.md
new file mode 100644
index 000000000..b47de3124
--- /dev/null
+++ b/qdrant-landing/content/documentation/headless/snippets/inference/openai-query/rust.md
@@ -0,0 +1,25 @@
+```rust
+use qdrant_client::{
+    Qdrant, QdrantError,
+    qdrant::{Document, Query, QueryPointsBuilder, Value},
+};
+use std::collections::HashMap;
+
+let client = Qdrant::from_url("http://localhost:6333").build().unwrap();
+
+let mut options = HashMap::<String, Value>::new();
+options.insert("openai-api-key".to_string(), "<YOUR_OPENAI_API_KEY>".into());
+options.insert("dimensions".to_string(), 512.into());
+
+client
+    .query(
+        QueryPointsBuilder::new("<your-collection_name>")
+            .query(Query::new_nearest(Document {
+                text: "How to bake cookies?".into(),
+                model: "openai/text-embedding-3-large".into(),
+                options,
+            }))
+            .build(),
+    )
+    .await?;
+```
diff --git a/qdrant-landing/content/documentation/headless/snippets/inference/openai-upsert/rust.md b/qdrant-landing/content/documentation/headless/snippets/inference/openai-upsert/rust.md
new file mode 100644
index 000000000..9e609033a
--- /dev/null
+++ b/qdrant-landing/content/documentation/headless/snippets/inference/openai-upsert/rust.md
@@ -0,0 +1,25 @@
+```rust
+use qdrant_client::{
+    Payload, Qdrant, QdrantError,
+    qdrant::{Document, PointStruct, UpsertPointsBuilder},
+};
+use std::collections::HashMap;
+
+let client = Qdrant::from_url("http://localhost:6333").build()?;
+let mut options = HashMap::new();
+options.insert("openai-api-key".to_string(), "<YOUR_OPENAI_API_KEY>".into());
+options.insert("dimensions".to_string(), 512.into());
+
+client
+    .upsert_points(UpsertPointsBuilder::new("<your-collection>",
+        vec![
+            PointStruct::new(1,
+                Document {
+                  text: "Recipe for baking chocolate chip cookies".into(),
+                  model: "openai/text-embedding-3-large".into(),
+                  options,
+                  },
+                Payload::default())
+            ]).wait(true))
+        .await?;
+```
diff --git a/qdrant-landing/content/documentation/headless/snippets/inference/query/rust.md b/qdrant-landing/content/documentation/headless/snippets/inference/query/rust.md
new file mode 100644
index 000000000..fb558a640
--- /dev/null
+++ b/qdrant-landing/content/documentation/headless/snippets/inference/query/rust.md
@@ -0,0 +1,22 @@
+```rust
+use qdrant_client::{
+    Qdrant, QdrantError,
+    qdrant::{Document, Query, QueryPointsBuilder},
+};
+use std::collections::HashMap;
+
+let client = Qdrant::from_url("http://localhost:6333").build().unwrap();
+
+client
+    .query(
+        QueryPointsBuilder::new("<your-collection_name>")
+            .query(Query::new_nearest(Document {
+                text: "How to bake cookies?".into(),
+                model: "qdrant/bm25".into(),
+                options: HashMap::new(),
+            }))
+            .using("my-bm25-vector")
+            .build(),
+    )
+    .await?;
+```