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Add TypeScript examples for Documentation & Quickstart (#376)

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* Add TS examples for Documentation/Concepts

* Minor FAQ improvements: spelling & formatting (#318)

* Minor spelling and formatting improvements in FAQ

* Add unused RAM is wasted RAM quote, improve memory text

* Add TypeScript version of Quickstart (#378)

* Minor FAQ improvements: spelling & formatting (#318)

* Minor spelling and formatting improvements in FAQ

* Add unused RAM is wasted RAM quote, improve memory text

* Add TS version of quickstart

---------

Co-authored-by: Tim Visée <tim@visee.me>

* Add TS examples to Documentation / Guides

* Fix terminology

* Add TS examples to Documentation / Cloud

* Add TS version of bulk upload tutorial

* Format tutorials with black

* Move author data to [params.author] (#385)

* Add TS examples for Documentation/Concepts

* Add TypeScript version of Quickstart (#378)

* Minor FAQ improvements: spelling & formatting (#318)

* Minor spelling and formatting improvements in FAQ

* Add unused RAM is wasted RAM quote, improve memory text

* Add TS version of quickstart

---------

Co-authored-by: Tim Visée <tim@visee.me>

* Add TS examples to Documentation / Guides

* Fix terminology

* Add TS examples to Documentation / Cloud

* Add TS version of bulk upload tutorial

* Format tutorials with black

---------

Co-authored-by: Tim Visée <tim@visee.me>
This commit is contained in:
Kacper Łukawski
2023-10-31 11:45:05 +01:00
committed by GitHub
co-authored by Tim Visée
parent c79061a2ef
commit a389d78bd2
24 changed files with 2225 additions and 425 deletions
Download Patch File Download Diff File Expand all files Collapse all files
qdrant-landing/content/documentation/tutorials/bulk-upload.md
+45 -5
View File
@@ -40,7 +40,7 @@ from qdrant_client import QdrantClient, models
client = QdrantClient("localhost", port=6333)
client.recreate_collection(
client.create_collection(
collection_name="{collection_name}",
vectors_config=models.VectorParams(size=768, distance=models.Distance.COSINE),
optimizers_config=models.OptimizersConfigDiff(
@@ -49,6 +49,22 @@ client.recreate_collection(
)
```
```typescript
import { QdrantClient } from "@qdrant/js-client-rest";
const client = new QdrantClient({ host: "localhost", port: 6333 });
client.createCollection("{collection_name}", {
vectors: {
size: 768,
distance: "Cosine",
},
optimizers_config: {
indexing_threshold: 0,
},
});
```
After upload is done, you can enable indexing by setting `indexing_threshold` to a desired value (default is 20000):
```http
@@ -68,12 +84,22 @@ client = QdrantClient("localhost", port=6333)
client.update_collection(
collection_name="{collection_name}",
optimizer_config=models.OptimizersConfigDiff(
indexing_threshold=20000
)
optimizer_config=models.OptimizersConfigDiff(indexing_threshold=20000),
)
```
```typescript
import { QdrantClient } from "@qdrant/js-client-rest";
const client = new QdrantClient({ host: "localhost", port: 6333 });
client.updateCollection("{collection_name}", {
optimizers_config: {
indexing_threshold: 20000,
},
});
```
## Upload directly to disk
When the vectors you upload do not all fit in RAM, you likely want to use
@@ -117,9 +143,23 @@ from qdrant_client import QdrantClient, models
client = QdrantClient("localhost", port=6333)
client.recreate_collection(
client.create_collection(
collection_name="{collection_name}",
vectors_config=models.VectorParams(size=768, distance=models.Distance.COSINE),
shard_number=2,
)
```
```typescript
import { QdrantClient } from "@qdrant/js-client-rest";
const client = new QdrantClient({ host: "localhost", port: 6333 });
client.createCollection("{collection_name}", {
vectors: {
size: 768,
distance: "Cosine",
},
shard_number: 2,
});
```