How to connect Google Cloud Speech-To-Text and Pinecone
Create a New Scenario to Connect Google Cloud Speech-To-Text 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 Cloud Speech-To-Text, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Speech-To-Text or Pinecone will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Pinecone, and select the appropriate trigger to start the scenario.

Add the Google Cloud Speech-To-Text Node
Select the Google Cloud Speech-To-Text node from the app selection panel on the right.

Google Cloud Speech-To-Text
Configure the Google Cloud Speech-To-Text
Click on the Google Cloud Speech-To-Text node to configure it. You can modify the Google Cloud Speech-To-Text 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 Cloud Speech-To-Text node, select Pinecone from the list of available apps, and choose the action you need from the list of nodes within Pinecone.

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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 Cloud Speech-To-Text 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 Cloud Speech-To-Text and Pinecone Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, 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 Cloud Speech-To-Text and Pinecone integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Pinecone (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud Speech-To-Text and Pinecone
Help Scout + Google Cloud Speech-To-Text + Pinecone: When a new conversation is created in Help Scout, if it contains a voice note, Google Cloud Speech-To-Text transcribes the audio and the transcript is then upserted as a vector into Pinecone for searchable customer insights.
Intercom + Google Cloud Speech-To-Text + Pinecone: When a new conversation is created in Intercom, Google Cloud Speech-To-Text transcribes the audio and the transcript is then upserted as a vector into Pinecone for searchable customer insights, allowing for trend analysis.
Google Cloud Speech-To-Text and Pinecone integration alternatives
About Google Cloud Speech-To-Text
Automate audio transcription using Google Cloud Speech-To-Text within Latenode. Convert audio files to text and use the results to populate databases, trigger alerts, or analyze customer feedback. Latenode provides visual tools to manage the flow, plus code options for custom parsing or filtering. Scale voice workflows without complex coding.
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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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FAQ Google Cloud Speech-To-Text and Pinecone
How can I connect my Google Cloud Speech-To-Text account to Pinecone using Latenode?
To connect your Google Cloud Speech-To-Text account to Pinecone on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Speech-To-Text and click on "Connect".
- Authenticate your Google Cloud Speech-To-Text and Pinecone accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I create voice-based knowledge search using both apps?
Yes, you can. Latenode's visual editor simplifies this, letting you combine Google Cloud Speech-To-Text transcriptions with Pinecone's vector search for instant, voice-driven information retrieval.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Pinecone?
Integrating Google Cloud Speech-To-Text with Pinecone allows you to perform various tasks, including:
- Building voice-enabled customer service chatbots.
- Creating searchable archives of voice meeting transcripts.
- Analyzing customer sentiment from voice feedback data.
- Generating real-time voice search for internal knowledge bases.
- Automating voice command systems based on vector embeddings.
HowsecureistheGoogleCloudSpeech-To-TextintegrationwithPineconeinLatenode?
Latenode uses secure authentication and encryption to protect your data during Google Cloud Speech-To-Text and Pinecone integration, ensuring data privacy.
Are there any limitations to the Google Cloud Speech-To-Text and Pinecone integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Pinecone's vector database has storage and indexing limitations.
- Google Cloud Speech-To-Text transcription accuracy can vary by language.