Google Docs
OpenAI (ChatGPT)

Document-Driven Vector Listings

Instantly respond to new documents. Streamline your workflow with AI efficiency. Elevate your document management process.

When this happens...

New Document Created (Instant)
Trigger new event when a new document is created in Google Docs.

-

automatically do this!

List Vector Store Files
Returns a list of vector store file.

Explore Triggers and Actions

New Document Created (Instant)
Trigger new event when a new document is created in Google Docs.
New or Updated Document (Instant)
Trigger new event when a document is created or updated in Google Docs.
Retrieve Vector Store File
Retrieve a vector store file.
Retrieve Vector Store
Retrieve a vector store.
Create Completion (Send Prompt)
OpenAI recommends using the **Chat** action for the latest `gpt-3.5-turbo` API, since it's faster and 10x cheaper. This action creates a completion for the provided prompt and parameters using the older `/completions` API.
Submit Tool Outputs to Run (Assistants)
Submits tool outputs to a run that requires action.
Summarize Text
Summarizes text using the Chat API.
Translate Text (Whisper)
Translate text from one language to another using the Chat API.
Upload File
Upload a file that can be used across various endpoints/features. The size of individual files can be a maximum of 512mb.

About the apps

Learn more about

Google Docs

and

OpenAI (ChatGPT)

, and how they work together to automate your workflows.

About

Google Docs

Google Docs is a versatile tool for creating, editing, and collaborating on documents online, enhancing team productivity and communication.

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About

OpenAI (ChatGPT)

OpenAI (ChatGPT) enhances customer support by delivering AI-driven solutions for seamless communication and efficient service operations.

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Why

Google Docs

+

OpenAI (ChatGPT)

= Perfect Match

Integrating Google Docs with vector store capabilities transforms your document handling processes. Whenever a new document is created in Google Docs, an event is triggered that seamlessly retrieves a list of corresponding vector store files. This automation eliminates manual searching, enhances retrieval speed, and ultimately streamlines your operations, allowing teams to focus on higher-priority tasks.

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