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docs: Go snippets

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Signed-off-by: Anush008 <anushshetty90@gmail.com>
This commit is contained in:
Anush008
2025-11-14 14:04:54 +05:30
parent fdef153f12
commit 25cde63d21
11 changed files with 286 additions and 5 deletions
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qdrant-landing/content/documentation/headless/snippets/cloud-inference/image/go.md
+3 -3
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@@ -24,14 +24,14 @@ func main() {
}
defer client.Close()
_, err = client.GetPointsClient().Upsert(ctx, &qdrant.UpsertPoints{
_, err = client.Upsert(ctx, &qdrant.UpsertPoints{
CollectionName: "<your-collection>",
Points: []*qdrant.PointStruct{
{
Id: qdrant.NewIDNum(uint64(1)),
Id: qdrant.NewIDNum(1),
Vectors: qdrant.NewVectorsImage(&qdrant.Image{
Image: "https://qdrant.tech/example.png",
Model: "qdrant/clip-vit-b-32-vision",
Image: qdrant.NewValueString("https://qdrant.tech/example.png"),
}),
Payload: qdrant.NewValueMap(map[string]any{
"title": "Example image",
qdrant-landing/content/documentation/headless/snippets/cloud-inference/simple/go.md
+2 -2
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@@ -24,11 +24,11 @@ func main() {
}
defer client.Close()
_, err = client.GetPointsClient().Upsert(ctx, &qdrant.UpsertPoints{
_, err = client.Upsert(ctx, &qdrant.UpsertPoints{
CollectionName: "<your-collection>",
Points: []*qdrant.PointStruct{
{
Id: qdrant.NewIDNum(uint64(1)),
Id: qdrant.NewIDNum(1),
Vectors: qdrant.NewVectorsDocument(&qdrant.Document{
Text: "Recipe for baking chocolate chip cookies",
Model: "<the-model-to-use>",
qdrant-landing/content/documentation/headless/snippets/inference/cohere-query/go.md
+29
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@@ -0,0 +1,29 @@
```go
import (
"context"
"time"
"github.com/qdrant/go-client/qdrant"
)
client, err := qdrant.NewClient(&qdrant.Config{
Host: "xyz-example.qdrant.io",
Port: 6334,
APIKey: "<paste-your-api-key-here>",
UseTLS: true,
})
client.Query(ctx, &qdrant.QueryPoints{
CollectionName: "<your-collection>",
Query: qdrant.NewQueryNearest(
qdrant.NewVectorInputDocument(&qdrant.Document{
Text: "a green square",
Model: "cohere/embed-v4.0",
Options: qdrant.NewValueMap(map[string]any{
"cohere-api-key": "<YOUR_COHERE_API_KEY>",
"output_dimension": 512,
}),
}),
),
})
```
qdrant-landing/content/documentation/headless/snippets/inference/cohere-upsert/go.md
+32
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@@ -0,0 +1,32 @@
```go
import (
"context"
"time"
"github.com/qdrant/go-client/qdrant"
)
client, err := qdrant.NewClient(&qdrant.Config{
Host: "xyz-example.qdrant.io",
Port: 6334,
APIKey: "<paste-your-api-key-here>",
UseTLS: true,
})
client.Upsert(ctx, &qdrant.UpsertPoints{
CollectionName: "<your-collection>",
Points: []*qdrant.PointStruct{
{
Id: qdrant.NewIDNum(uint64(1)),
Vectors: qdrant.NewVectorsImage(&qdrant.Image{
Model: "cohere/embed-v4.0",
Image: qdrant.NewValueString("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC"),
Options: qdrant.NewValueMap(map[string]any{
"cohere-api-key": "<YOUR_COHERE_API_KEY>",
"output_dimension": 512,
}),
}),
},
},
})
```
qdrant-landing/content/documentation/headless/snippets/inference/ingest/go.md
+30
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@@ -0,0 +1,30 @@
```go
import (
"context"
"time"
"github.com/qdrant/go-client/qdrant"
)
client, err := qdrant.NewClient(&qdrant.Config{
Host: "xyz-example.qdrant.io",
Port: 6334,
APIKey: "<paste-your-api-key-here>",
UseTLS: true,
})
client.Upsert(ctx, &qdrant.UpsertPoints{
CollectionName: "<your-collection>",
Points: []*qdrant.PointStruct{
{
Id: qdrant.NewIDNum(uint64(1)),
Vectors: qdrant.NewVectorsMap(map[string]*qdrant.Vector{
"my-bm25-vector": qdrant.NewVectorDocument(&qdrant.Document{
Model: "qdrant/bm25",
Text: "Recipe for baking chocolate chip cookies",
}),
}),
},
},
})
```
qdrant-landing/content/documentation/headless/snippets/inference/jinaai-query/go.md
+29
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@@ -0,0 +1,29 @@
```go
import (
"context"
"time"
"github.com/qdrant/go-client/qdrant"
)
client, err := qdrant.NewClient(&qdrant.Config{
Host: "xyz-example.qdrant.io",
Port: 6334,
APIKey: "<paste-your-api-key-here>",
UseTLS: true,
})
client.Query(ctx, &qdrant.QueryPoints{
CollectionName: "<your-collection>",
Query: qdrant.NewQueryNearest(
qdrant.NewVectorInputDocument(&qdrant.Document{
Text: "Mission to Mars",
Model: "jinaai/jina-clip-v2",
Options: qdrant.NewValueMap(map[string]any{
"jina-api-key": "<YOUR_JINAAI_API_KEY>",
"dimensions": 512,
}),
}),
),
})
```
qdrant-landing/content/documentation/headless/snippets/inference/jinaai-upsert/go.md
+32
View File
@@ -0,0 +1,32 @@
```go
import (
"context"
"time"
"github.com/qdrant/go-client/qdrant"
)
client, err := qdrant.NewClient(&qdrant.Config{
Host: "xyz-example.qdrant.io",
Port: 6334,
APIKey: "<paste-your-api-key-here>",
UseTLS: true,
})
client.Upsert(ctx, &qdrant.UpsertPoints{
CollectionName: "<your-collection>",
Points: []*qdrant.PointStruct{
{
Id: qdrant.NewIDNum(uint64(1)),
Vectors: qdrant.NewVectorsImage(&qdrant.Image{
Model: "jinaai/jina-clip-v2",
Image: qdrant.NewValueString("https://qdrant.tech/example.png"),
Options: qdrant.NewValueMap(map[string]any{
"jina-api-key": "<YOUR_JINAAI_API_KEY>",
"dimensions": 512,
}),
}),
},
},
})
```
qdrant-landing/content/documentation/headless/snippets/inference/multiple/go.md
+42
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@@ -0,0 +1,42 @@
```go
import (
"context"
"time"
"github.com/qdrant/go-client/qdrant"
)
client, err := qdrant.NewClient(&qdrant.Config{
Host: "xyz-example.qdrant.io",
Port: 6334,
APIKey: "<paste-your-api-key-here>",
UseTLS: true,
})
client.Upsert(ctx, &qdrant.UpsertPoints{
CollectionName: "<your-collection>",
Points: []*qdrant.PointStruct{
{
Id: qdrant.NewIDNum(uint64(1)),
Vectors: qdrant.NewVectorsMap(map[string]*qdrant.Vector{
"image": qdrant.NewVectorImage(&qdrant.Image{
Model: "jinaai/jina-clip-v2",
Image: qdrant.NewValueString("https://qdrant.tech/example.png"),
Options: qdrant.NewValueMap(map[string]any{
"jina-api-key": "<YOUR_JINAAI_API_KEY>",
"dimensions": 512,
}),
}),
"text": qdrant.NewVectorDocument(&qdrant.Document{
Model: "sentence-transformers/all-minilm-l6-v2",
Text: "Mars, the red planet",
}),
"my-bm25-vector": qdrant.NewVectorDocument(&qdrant.Document{
Model: "qdrant/bm25",
Text: "Recipe for baking chocolate chip cookies",
}),
}),
},
},
})
```
qdrant-landing/content/documentation/headless/snippets/inference/openai-query/go.md
+29
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@@ -0,0 +1,29 @@
```go
import (
"context"
"time"
"github.com/qdrant/go-client/qdrant"
)
client, err := qdrant.NewClient(&qdrant.Config{
Host: "xyz-example.qdrant.io",
Port: 6334,
APIKey: "<paste-your-api-key-here>",
UseTLS: true,
})
client.Query(ctx, &qdrant.QueryPoints{
CollectionName: "<your-collection>",
Query: qdrant.NewQueryNearest(
qdrant.NewVectorInputDocument(&qdrant.Document{
Model: "openai/text-embedding-3-large",
Text: "How to bake cookies?",
Options: qdrant.NewValueMap(map[string]any{
"openai-api-key": "<YOUR_OPENAI_API_KEY>",
"dimensions": 512,
}),
}),
),
})
```
qdrant-landing/content/documentation/headless/snippets/inference/openai-upsert/go.md
+32
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@@ -0,0 +1,32 @@
```go
import (
"context"
"time"
"github.com/qdrant/go-client/qdrant"
)
client, err := qdrant.NewClient(&qdrant.Config{
Host: "xyz-example.qdrant.io",
Port: 6334,
APIKey: "<paste-your-api-key-here>",
UseTLS: true,
})
client.Upsert(ctx, &qdrant.UpsertPoints{
CollectionName: "<your-collection>",
Points: []*qdrant.PointStruct{
{
Id: qdrant.NewIDNum(uint64(1)),
Vectors: qdrant.NewVectorsDocument(&qdrant.Document{
Model: "openai/text-embedding-3-large",
Text: "Recipe for baking chocolate chip cookies",
Options: qdrant.NewValueMap(map[string]any{
"openai-api-key": "<YOUR_OPENAI_API_KEY>",
"dimensions": 512,
}),
}),
},
},
})
```
qdrant-landing/content/documentation/headless/snippets/inference/query/go.md
+26
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@@ -0,0 +1,26 @@
```go
import (
"context"
"time"
"github.com/qdrant/go-client/qdrant"
)
client, err := qdrant.NewClient(&qdrant.Config{
Host: "xyz-example.qdrant.io",
Port: 6334,
APIKey: "<paste-your-api-key-here>",
UseTLS: true,
})
client.Query(ctx, &qdrant.QueryPoints{
CollectionName: "<your-collection>",
Query: qdrant.NewQueryNearest(
qdrant.NewVectorInputDocument(&qdrant.Document{
Model: "qdrant/bm25",
Text: "How to bake cookies?",
}),
),
Using: qdrant.PtrOf("my-bm25-vector"),
})
```