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.
Chat
The Chat API, using the `gpt-3.5-turbo` or `gpt-4` model.
Summarize
Summarizes text using the OpenAI API.
Analyze Image Content
Send a message or question about an image and receive a response.
Cancel Run (Assistants)
Cancels a run that is in progress.
Chat using File Search
Chat with your files knowledge base (vector stores).
Chat using Functions
Chat with your models and allow them to invoke functions. Optionally, you can build and invoke workflows as functions.
Chat with Assistant
Sends a message and generates a response, storing the message history for a continuous conversation.
Chat using Web Search
Chat using the web search tool.
Chat With Responses API
Send a chat via the Responses API, mixing built-in tools and MCP server tools.

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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