Milvus Integration
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Milvus Integration
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This integration transfers data from Apify Actors to a Milvus/Zilliz database and is a good starting point for a question-answering, search, or RAG use case.
Do you want to learn more about this Actor?
Get a demoYou can access the Milvus 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/milvus-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-start
Milvus Integration API in Python
The Apify API client for Python is the official library that allows you to use Milvus Integration API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
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- Created in Jul 2024
- Modified about 1 month ago