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Use Captions to automatically transcribe meeting recordings, then feed the text into Pinecone for semantic search. Latenode’s low-code editor makes it easy to refine your search parameters and scale your transcription analysis using custom JavaScript functions.
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Create a New Scenario to Connect Captions 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 Captions, triggered by another scenario, or executed manually (for testing purposes). In most cases, Captions or Pinecone will be your first step. To do this, click "Choose an app," find Captions or Pinecone, and select the appropriate trigger to start the scenario.
Add the Captions Node
Select the Captions node from the app selection panel on the right.
Captions
Configure the Captions
Click on the Captions node to configure it. You can modify the Captions 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 Captions node, select Pinecone from the list of available apps, and choose the action you need from the list of nodes within Pinecone.
Captions
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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 Captions 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 Captions 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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Captions
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Captions, 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 Captions and Pinecone integration works as expected. Depending on your setup, data should flow between Captions and Pinecone (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Captions + OpenAI + Pinecone: Analyze video captions generated by Captions, use OpenAI to create embeddings from the captions, and then store these embeddings in Pinecone for semantic search capabilities.
Captions + Pinecone + Slack: When new video captions are generated in Captions, search Pinecone for similar content using the generated captions. If similar content is found, notify users in Slack with relevant details.
About Captions
Need accurate, automated captions for videos? Integrate Captions with Latenode to generate and sync subtitles across platforms. Automate video accessibility for marketing, training, or support. Latenode adds scheduling, file handling, and error control to Captions, making scalable captioning workflows simple and efficient.
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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 Captions account to Pinecone using Latenode?
To connect your Captions account to Pinecone on Latenode, follow these steps:
Can I enrich Pinecone vectors with Captions transcript data?
Yes, you can! Latenode enables seamless data transformation, letting you use Captions transcripts to create enhanced vector embeddings in Pinecone, improving search relevance.
What types of tasks can I perform by integrating Captions with Pinecone?
Integrating Captions with Pinecone allows you to perform various tasks, including:
How do I manage errors in my Captions workflows?
Latenode offers robust error handling with built-in retry mechanisms and error logs for efficient debugging and workflow stability.
Are there any limitations to the Captions and Pinecone integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: