Files
landing_page/qdrant-landing/content/documentation/headless/snippets/cloud-inference/simple/bash.sh
T
xzfc 00896acb28 Automated snippet conversion by scripts
These changes are purely mechanical to differentiate them from manual
fixes/adjustments made in the next commit.
This results in broken code as some snippets contain errors.

Made in four steps:
1. Run ./migrate-snippet.py that converts `.md` files to code files
   and perhaps adds missing lines under `// @hide` comments.
2. Sort Java imports.
3. Remove old `.md` files.
4. Run ./generate.md to produce `*/generated/*.md` files.
2025-11-28 22:00:47 +00:00

28 lines
779 B
Bash

# Create a new vector
curl -X PUT "https://xyz-example.qdrant.io:6333/collections/<your-collection>/points?wait=true" \
-H "Content-Type: application/json" \
-H "api-key: <paste-your-api-key-here>" \
-d '{
"points": [
{
"id": 1,
"payload": { "topic": "cooking", "type": "dessert" },
"vector": {
"text": "Recipe for baking chocolate chip cookies",
"model": "<the-model-to-use>"
}
}
]
}'
# Perform a search query
curl -X POST "https://xyz-example.qdrant.io:6333/collections/<your-collection>/points/query" \
-H "Content-Type: application/json" \
-H "api-key: <paste-your-api-key-here>" \
-d '{
"query": {
"text": "How to bake cookies?",
"model": "<the-model-to-use>"
}
}'