Build an OpenAI Assistant with Google Drive Integration
detail.loadingPreview
Automates the creation and configuration of an OpenAI assistant, integrating it with Google Drive to use document content for responses.
About This Workflow
This workflow automates the process of setting up an OpenAI assistant. It begins by creating an assistant with specific instructions and a chosen model. It then downloads a document from Google Drive, uploads it to OpenAI as a file, and finally updates the assistant to use this uploaded file as its knowledge base. The workflow also includes a chat trigger to interact with the configured assistant.
Key Features
- OpenAI Assistant Creation: Dynamically creates a new OpenAI assistant.
- Google Drive Integration: Downloads files from Google Drive for use as assistant knowledge.
- File Upload to OpenAI: Uploads downloaded documents to OpenAI.
- Assistant Update: Associates uploaded files with the OpenAI assistant.
- Chat Interaction: Enables interaction with the assistant via a chat trigger.
How To Use
- Manual Trigger (When clicking ‘Test workflow’): Initiates the workflow. Connect this node to the
OpenAI(create assistant) andGoogle Drivenodes. - OpenAI (Create Assistant): Configure this node to create your OpenAI assistant. Specify the
name,modelId,description, and crucialinstructions. Ensure you have your OpenAI credentials set up. - Google Drive: Configure this node to download the desired document from Google Drive. Provide the
fileIdof the document. SetgoogleFileConversionto convert documents to PDF. - OpenAI (Upload File): Use this node with the
resourceset to 'file' andoperationto upload the downloaded file from Google Drive to OpenAI. ThebinaryPropertyNameshould match the output from the Google Drive node. - OpenAI (Update Assistant): Connect the output of the file upload to this node. Configure it to
updatethe assistant created in step 2, using theassistantIdand associating the uploadedfile_ids. - Sticky Notes: Visual aids to understand the workflow steps.
- When chat message received: This node acts as a webhook to receive incoming chat messages.
- OpenAI Assistent (Interact): Connect the chat trigger to this node. This node is configured to interact with the previously created and updated assistant. It also utilizes
Window Buffer Memoryfor conversational context. - Window Buffer Memory: Configures conversational memory for the assistant.
Apps Used
Workflow JSON
{
"id": "0e2e410e-fd0a-4b29-888f-b017f2789055",
"name": "Build an OpenAI Assistant with Google Drive Integration",
"nodes": 8,
"category": "AI",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 0e2e410e-fd0a...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
Statistics
Related Workflows
Discover more workflows you might like
Build an AI Documentation Expert Chatbot with Gemini RAG
This n8n workflow automates the creation of an AI-powered expert chatbot capable of answering questions based on your documentation. It intelligently ingests, cleans, and processes your knowledge base, preparing it for a Retrieval Augmented Generation (RAG) pipeline with Google Gemini.
Generate Multilingual Image Captions and Overlay
This workflow generates captions for images using Google Gemini and overlays them onto the image, with support for multilingual output.
LangChain Workflow Retriever Example
Demonstrates using LangChain's Retriever QA Chain to query data retrieved from another workflow.