Back to Integrations
integrationGoogle Docs node
integration

Google Docs and Information Extractor integration

Save yourself the work of writing custom integrations for Google Docs and Information Extractor and use n8n instead. Build adaptable and scalable Miscellaneous, AI, and Langchain workflows that work with your technology stack. All within a building experience you will love.

How to connect Google Docs and Information Extractor

  • Step 1: Create a new workflow
  • Step 2: Add and configure nodes
  • Step 3: Connect
  • Step 4: Customize and extend your integration
  • Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Google Docs and Information Extractor integration: Create a new workflow and add the first step

Step 2: Add and configure Google Docs and Information Extractor nodes

You can find Google Docs and Information Extractor in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Google Docs and Information Extractor nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Google Docs and Information Extractor integration: Add and configure Google Docs and Information Extractor nodes

Step 3: Connect Google Docs and Information Extractor

A connection establishes a link between Google Docs and Information Extractor (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Google Docs and Information Extractor integration: Connect Google Docs and Information Extractor

Step 4: Customize and extend your Google Docs and Information Extractor integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Google Docs and Information Extractor with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Google Docs and Information Extractor integration: Customize and extend your Google Docs and Information Extractor integration

Step 5: Test and activate your Google Docs and Information Extractor workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Google Docs to Information Extractor or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Google Docs and Information Extractor integration: Test and activate your Google Docs and Information Extractor workflow

🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant

🤖 AI-Powered RAG Chatbot with Google Drive Integration

This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Google's Gemini AI.

How It Works

Document Processing & Storage 📚
Retrieves documents from a specified Google Drive folder
Processes and splits documents into manageable chunks
Extracts metadata using AI for enhanced search capabilities
Stores document vectors in Qdrant for efficient retrieval

Intelligent Chat Interface 💬
Provides a conversational interface powered by Google Gemini
Uses RAG to retrieve relevant context from stored documents
Maintains chat history in Google Docs for reference
Delivers accurate, context-aware responses

Vector Store Management 🗄️
Features secure delete operations with human verification
Includes Telegram notifications for important operations
Maintains data integrity with proper version control
Supports batch processing of documents

Setup Steps

Configure API Credentials:
Set up Google Drive & Docs access
Configure Gemini AI API
Set up Qdrant vector store connection
Add Telegram bot for notifications
Add OpenAI Api Key to the 'Delete Qdrant Points by File ID' node

Configure Document Sources:
Set Google Drive folder ID
Define Qdrant collection name
Set up document processing parameters

Test and Deploy:
Verify document processing
Test chat functionality
Confirm vector store operations
Check notification system

This workflow is ideal for organizations needing to create intelligent chatbots that can access and understand large document repositories while maintaining context and providing accurate responses through RAG technology.

Nodes used in this workflow

Popular Google Docs and Information Extractor workflows

+8

🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant

🤖 AI-Powered RAG Chatbot with Google Drive Integration This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Google's Gemini AI. How It Works Document Processing & Storage 📚 Retrieves documents from a specified Google Drive folder Processes and splits documents into manageable chunks Extracts metadata using AI for enhanced search capabilities Stores document vectors in Qdrant for efficient retrieval Intelligent Chat Interface 💬 Provides a conversational interface powered by Google Gemini Uses RAG to retrieve relevant context from stored documents Maintains chat history in Google Docs for reference Delivers accurate, context-aware responses Vector Store Management 🗄️ Features secure delete operations with human verification Includes Telegram notifications for important operations Maintains data integrity with proper version control Supports batch processing of documents Setup Steps Configure API Credentials: Set up Google Drive & Docs access Configure Gemini AI API Set up Qdrant vector store connection Add Telegram bot for notifications Add OpenAI Api Key to the 'Delete Qdrant Points by File ID' node Configure Document Sources: Set Google Drive folder ID Define Qdrant collection name Set up document processing parameters Test and Deploy: Verify document processing Test chat functionality Confirm vector store operations Check notification system This workflow is ideal for organizations needing to create intelligent chatbots that can access and understand large document repositories while maintaining context and providing accurate responses through RAG technology.

Build your own Google Docs and Information Extractor integration

Create custom Google Docs and Information Extractor workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Google Docs supported actions

Create
Get
Update

FAQs

  • Can Google Docs connect with Information Extractor?

  • Can I use Google Docs’s API with n8n?

  • Can I use Information Extractor’s API with n8n?

  • Is n8n secure for integrating Google Docs and Information Extractor?

  • How to get started with Google Docs and Information Extractor integration in n8n.io?

Looking to integrate Google Docs and Information Extractor in your company?

Over 3000 companies switch to n8n every single week

Why use n8n to integrate Google Docs with Information Extractor

Build complex workflows, really fast

Build complex workflows, really fast

Handle branching, merging and iteration easily.
Pause your workflow to wait for external events.

Code when you need it, UI when you don't

Simple debugging

Your data is displayed alongside your settings, making edge cases easy to track down.

Use templates to get started fast

Use 1000+ workflow templates available from our core team and our community.

Reuse your work

Copy and paste, easily import and export workflows.

Implement complex processes faster with n8n

red iconyellow iconred iconyellow icon