Qdrant Vector Search
Qdrant is an open-source vector database offering a REST API for storing, filtering, and searching vector embeddings with millisecond latency. It supports payload filtering, real-time insertion, and hybrid search, making it perfect for semantic search, embeddings storage, and AI-powered apps.
1
Endpoints
32
Views
Jul 20, 2025
Last Checked
NaN
Rate Limit
API Endpoints
Inserts or updates vector embeddings
Full URL
http://localhost:6333/collections/{name}/pointsCode Examples
curl -X PUT 'http://localhost:6333/collections/{name}/points' \
-H 'Authorization: Bearer YOUR_API_KEY'Parameters
{
"points": [
{
"id": "point1",
"vector": [
0.1,
0.2,
0.3
],
"payload": {
"city": "Berlin"
}
}
]
}Example Response
{
"status": "acknowledged",
"operation_id": 123
}Version
v1
Rate Limit
500 vectors/second
Tags
similarity-searchvector-database
Technical Details
Authentication
NoneResponse Formats
JSONAvailability
globalStatus
Published Rate Limits
Self-managed
Supported Languages
PythonJavaScriptRust
Use Cases
recommendation systems
image search
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