Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
title: Qdrant Vector Store Server | |
emoji: 🛠 | |
colorFrom: gray | |
colorTo: gray | |
sdk: docker | |
app_port: 6333 | |
short_description: Qdrant Vector Database Server | |
# Qdrant Vector Database Server on Hugging Face Spaces | |
This Space hosts a Qdrant vector database instance. This is just a Infrastructural component and doesnt not serve any user application through its User Interface. | |
**Persistence:** Data is stored persistently in the `/data/qdrant_data` directory due to enabled persistent storage. | |
**Endpoints:** | |
* HTTP/REST API: Available at `https://giz-chatfed-qdrantserver.hf.space:6333` | |
* gRPC API: Available at `https://giz-chatfed-qdrantserver.hf.space:6334` | |
**How to connect:** | |
From your client application (e.g., your embedding microservice), use the `qdrant-client` with the host set to your Space's direct URL and the appropriate port: | |
```python | |
from qdrant_client import QdrantClient | |
# Replace with your actual Space URL (e.g., [https://your-username-qdrant-server.hf.space](https://your-username-qdrant-server.hf.space)) | |
QDRANT_HOST = "giz-chatfed-qdrantserver.hf.space" | |
# Use port 6334 for gRPC or 6333 for HTTP REST (when connecting from client) | |
# The app_port in README.md is just for HF's internal health check | |
client = QdrantClient( | |
host = QDRANT_HOST, | |
port=443, # very important that port to be used for python client | |
https=True, | |
api_key = <QDRANT_API_KEY>,) | |
``` |