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Enrich your Pinecone vector search results with real-time data using Enrich Layer. Latenode's visual editor makes it easier to build dynamic lookups and augment results, while affordable pricing ensures scaling complex data pipelines is cost-effective.
Connect Pinecone and Enrich Layer in minutes with Latenode.
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Create a New Scenario to Connect Pinecone and Enrich Layer
In the workspace, click the βCreate New Scenarioβ button.
Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Pinecone, triggered by another scenario, or executed manually (for testing purposes). In most cases, Pinecone or Enrich Layer will be your first step. To do this, click "Choose an app," find Pinecone or Enrich Layer, and select the appropriate trigger to start the scenario.
Add the Pinecone Node
Select the Pinecone node from the app selection panel on the right.
Pinecone
Configure the Pinecone
Click on the Pinecone node to configure it. You can modify the Pinecone URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Enrich Layer Node
Next, click the plus (+) icon on the Pinecone node, select Enrich Layer from the list of available apps, and choose the action you need from the list of nodes within Enrich Layer.
Pinecone
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Enrich Layer
Authenticate Enrich Layer
Now, click the Enrich Layer node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Enrich Layer settings. Authentication allows you to use Enrich Layer through Latenode.
Configure the Pinecone and Enrich Layer 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 Pinecone and Enrich Layer 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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Enrich Layer
Trigger on Webhook
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Pinecone
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Pinecone, Enrich Layer, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Pinecone and Enrich Layer integration works as expected. Depending on your setup, data should flow between Pinecone and Enrich Layer (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
HubSpot + Enrich Layer + Pinecone: When a new contact is created in HubSpot, enrich the contact's data using Enrich Layer. Then, store the enriched contact data as a vector in Pinecone for semantic search and retrieval.
Airtable + Enrich Layer + Pinecone: When a new record is added to Airtable, enrich the company data using Enrich Layer. Then store the enriched company data as a vector in Pinecone.
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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About Enrich Layer
Enrich Layer inside Latenode automates data validation and enhancement. Fix errors and add missing info to leads or contacts. Clean up data from any source before it reaches your CRM or database. Latenode handles complex logic and scales the process without per-step costs, keeping data accurate and workflows efficient.
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How can I connect my Pinecone account to Enrich Layer using Latenode?
To connect your Pinecone account to Enrich Layer on Latenode, follow these steps:
Can I enrich vectors before indexing them?
Yes! Latenode allows you to seamlessly enrich vector data from Enrich Layer before indexing it in Pinecone. Enhance your vector search with added context using our visual editor and advanced logic.
What types of tasks can I perform by integrating Pinecone with Enrich Layer?
Integrating Pinecone with Enrich Layer allows you to perform various tasks, including:
How scalable is Pinecone integration with Latenode?
Latenode's architecture allows for handling large volumes of data, enabling scalable Pinecone and Enrich Layer workflows without needing complex infrastructure management.
Are there any limitations to the Pinecone and Enrich Layer integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: