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Pinecone Integration

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Pinecone Integration

Pinecone Integration

apify/pinecone-integration
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This integration transfers data from Apify Actors to a Pinecone and is a good starting point for a question-answering, search, or RAG use case.

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You can access the Pinecone 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/pinecone-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

Pinecone Integration API in Python

The Apify API client for Python is the official library that allows you to use Pinecone Integration API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Apify

Actor Metrics

  • 34 monthly users

  • 18 stars

  • 87% runs succeeded

  • 19 days response time

  • Created in Jun 2024

  • Modified 24 days ago

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