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Enrich your Pinecone vector database using targeted data from Google Programmable Search Engine. Latenode's visual editor and affordable execution time let you scale custom knowledge bases with ease.
Connect Google Programmable Search Engine and Pinecone in minutes with Latenode.
Create Google Programmable Search Engine to Pinecone workflow
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Create a New Scenario to Connect Google Programmable Search Engine and Pinecone
In the workspace, click the “Create New Scenario” button.
Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Programmable Search Engine, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Programmable Search Engine or Pinecone will be your first step. To do this, click "Choose an app," find Google Programmable Search Engine or Pinecone, and select the appropriate trigger to start the scenario.
Add the Google Programmable Search Engine Node
Select the Google Programmable Search Engine node from the app selection panel on the right.
Google Programmable Search Engine
Configure the Google Programmable Search Engine
Click on the Google Programmable Search Engine node to configure it. You can modify the Google Programmable Search Engine URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Pinecone Node
Next, click the plus (+) icon on the Google Programmable Search Engine node, select Pinecone from the list of available apps, and choose the action you need from the list of nodes within Pinecone.
Google Programmable Search Engine
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Pinecone
Authenticate Pinecone
Now, click the Pinecone node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Pinecone settings. Authentication allows you to use Pinecone through Latenode.
Configure the Google Programmable Search Engine and Pinecone Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Programmable Search Engine and Pinecone Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Pinecone
Trigger on Webhook
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Google Programmable Search Engine
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Programmable Search Engine, Pinecone, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Programmable Search Engine and Pinecone integration works as expected. Depending on your setup, data should flow between Google Programmable Search Engine and Pinecone (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Google Programmable Search Engine + Pinecone + Slack: Monitors Google Programmable Search Engine for specific queries. When a new search result is found, it's saved as a vector in Pinecone. Finally, a notification with the search result is sent to a Slack channel.
Google Programmable Search Engine + Pinecone + Google Sheets: Queries Google Programmable Search Engine and uses the results to search for similar vectors in Pinecone. The search results from Pinecone and Google Search are then added to a Google Sheet for reporting.
About Google Programmable Search Engine
Use Google Programmable Search Engine in Latenode to build focused search workflows. Automatically extract data from specific sites, monitor brand mentions, or gather research. Combine it with AI nodes to analyze results, filter noise, and deliver actionable insights without manual crawling. Integrate with any app through Latenode’s flexible API.
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About Pinecone
Use Pinecone in Latenode to build scalable vector search workflows. Store embeddings from AI models, then use them to find relevant data. Automate document retrieval or personalized recommendations. Connect Pinecone with other apps via Latenode, bypassing complex coding and scaling easily with our pay-as-you-go pricing.
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How can I connect my Google Programmable Search Engine account to Pinecone using Latenode?
To connect your Google Programmable Search Engine account to Pinecone on Latenode, follow these steps:
Can I enhance search with vector embeddings?
Yes! Latenode lets you send Google Programmable Search Engine results to Pinecone, create embeddings, and refine future searches. Scale your AI effortlessly with Latenode's robust infrastructure.
What types of tasks can I perform by integrating Google Programmable Search Engine with Pinecone?
Integrating Google Programmable Search Engine with Pinecone allows you to perform various tasks, including:
How does Latenode handle API key security for Google Programmable Search Engine?
Latenode securely stores your API keys using encryption and provides role-based access controls. Manage credentials safely and collaborate with your team.
Are there any limitations to the Google Programmable Search Engine and Pinecone integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: