Qdrant Integration
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Qdrant Integration
apify/qdrant-integration
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Transfer data from Apify Actors to a Qdrant vector database.
Do you want to learn more about this Actor?
Get a demoYou can access the Qdrant Integration programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "datasetFields": ["text"],
10 "deltaUpdatesPrimaryDatasetFields": ["url"],
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("apify/qdrant-integration").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startQdrant Integration API in Python
The Apify API client for Python is the official library that allows you to use Qdrant Integration API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Developer
Apify Maintained by Apify
Actor metrics
- 3 monthly users
- 3 stars
- 33.3% runs succeeded
- 22 days response time
- Created in Jun 2024
- Modified 26 days ago
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