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.
Classify Items into Categories
Classify items into specific categories using the Chat API.
Convert Text to Speech (TTS)
Generates audio from the input text.
Create Batch
Creates and executes a batch from an uploaded file of requests.
Create Assistant
Creates an assistant with a model and instructions.
Create Embeddings
Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
Create Fine Tuning Job
Creates a job that fine-tunes a specified model from a given dataset.
Create Image (Dall-E)
Creates an image given a prompt returning a URL to the image.
Create Moderation
Classifies if text is potentially harmful.

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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