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Google Drive and Vector Store Tool integration

Save yourself the work of writing custom integrations for Google Drive and Vector Store Tool and use n8n instead. Build adaptable and scalable Data & Storage, AI, and Langchain workflows that work with your technology stack. All within a building experience you will love.

How to connect Google Drive and Vector Store Tool

  • 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 Drive and Vector Store Tool integration: Create a new workflow and add the first step

Step 2: Add and configure Google Drive and Vector Store Tool nodes

You can find Google Drive and Vector Store Tool 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 Drive and Vector Store Tool nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Google Drive and Vector Store Tool integration: Add and configure Google Drive and Vector Store Tool nodes

Step 3: Connect Google Drive and Vector Store Tool

A connection establishes a link between Google Drive and Vector Store Tool (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 Drive and Vector Store Tool integration: Connect Google Drive and Vector Store Tool

Step 4: Customize and extend your Google Drive and Vector Store Tool 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 Drive and Vector Store Tool with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Google Drive and Vector Store Tool integration: Customize and extend your Google Drive and Vector Store Tool integration

Step 5: Test and activate your Google Drive and Vector Store Tool workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Google Drive to Vector Store Tool 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 Drive and Vector Store Tool integration: Test and activate your Google Drive and Vector Store Tool workflow

AI-Powered RAG Workflow For Stock Earnings Report Analysis

This n8n workflow creates a financial analysis tool that generates reports on a company's quarterly earnings using the capabilities of OpenAI GPT-4o-mini, Google's Gemini AI and Pinecone's vector search. By analyzing PDFs of any company's earnings reports from their Investor Relations page, this workflow can answer complex financial questions and automatically compile findings into a structured Google Doc.

How it works:
Data loading and indexing
Fetches links to PDF earnings document from a Google Sheet containing a list of file links.
Downloads the PDFs from Google Drive.
Parses the PDFs, splits the text into chunks, and generates embeddings using the Embeddings Google AI node (text-embedding-004 model).
Stores the embeddings and corresponding text chunks in a Pinecone vector database for semantic search.

Report generation with AI agent
Utilizes an AI Agent node with a specifically crafted system prompt. The agent orchestrates the entire process.
The agent uses a Vector Store Tool to access and retrieve information from the Pinecone database.
Report delivery
Saves the generated report as a Google Doc in a specified Google Drive location.

Set up steps
Google Cloud Project & Vertex AI API:
Create a Google Cloud project.
Enable the Vertex AI API for your project.
Google AI API key:
Obtain a Google AI API key from Google AI Studio.
Pinecone account and API key:
Create a free account on the Pinecone website.
Obtain your API key from your Pinecone dashboard.
Create an index named company-earnings in your Pinecone project.
Google Drive - download and save financial documents:
Go to a company you want to analize and download their quarterly earnings PDFs
Save the PDFs in Google Drive
Create a Google Sheet that stores a list of file URLs pointing to the PDFs you downloaded and saved to Google Drive
Configure credentials in your n8n environment for:
Google Sheets OAuth2
Google Drive OAuth2
Google Docs OAuth2
Google Gemini(PaLM) Api (using your Google AI API key)
Pinecone API (using your Pinecone API key)
Import and configure the workflow:
Import this workflow into your n8n instance.
Update the List Of Files To Load (Google Sheets) node to point to your Google Sheet.
Update the Download File From Google Drive to point to the column where the file URLs are
Update the Save Report to Google Docs node to point to your Google Doc where you want the report saved.

Nodes used in this workflow

Popular Google Drive and Vector Store Tool workflows

+6

AI-Powered RAG Workflow For Stock Earnings Report Analysis

This n8n workflow creates a financial analysis tool that generates reports on a company's quarterly earnings using the capabilities of OpenAI GPT-4o-mini, Google's Gemini AI and Pinecone's vector search. By analyzing PDFs of any company's earnings reports from their Investor Relations page, this workflow can answer complex financial questions and automatically compile findings into a structured Google Doc. How it works: Data loading and indexing Fetches links to PDF earnings document from a Google Sheet containing a list of file links. Downloads the PDFs from Google Drive. Parses the PDFs, splits the text into chunks, and generates embeddings using the Embeddings Google AI node (text-embedding-004 model). Stores the embeddings and corresponding text chunks in a Pinecone vector database for semantic search. Report generation with AI agent Utilizes an AI Agent node with a specifically crafted system prompt. The agent orchestrates the entire process. The agent uses a Vector Store Tool to access and retrieve information from the Pinecone database. Report delivery Saves the generated report as a Google Doc in a specified Google Drive location. Set up steps Google Cloud Project & Vertex AI API: Create a Google Cloud project. Enable the Vertex AI API for your project. Google AI API key: Obtain a Google AI API key from Google AI Studio. Pinecone account and API key: Create a free account on the Pinecone website. Obtain your API key from your Pinecone dashboard. Create an index named company-earnings in your Pinecone project. Google Drive - download and save financial documents: Go to a company you want to analize and download their quarterly earnings PDFs Save the PDFs in Google Drive Create a Google Sheet that stores a list of file URLs pointing to the PDFs you downloaded and saved to Google Drive Configure credentials in your n8n environment for: Google Sheets OAuth2 Google Drive OAuth2 Google Docs OAuth2 Google Gemini(PaLM) Api (using your Google AI API key) Pinecone API (using your Pinecone API key) Import and configure the workflow: Import this workflow into your n8n instance. Update the List Of Files To Load (Google Sheets) node to point to your Google Sheet. Update the Download File From Google Drive to point to the column where the file URLs are Update the Save Report to Google Docs node to point to your Google Doc where you want the report saved.

Build your own Google Drive and Vector Store Tool integration

Create custom Google Drive and Vector Store Tool 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 Drive supported actions

Copy
Create a copy of an existing file
Create From Text
Create a file from a provided text
Delete
Permanently delete a file
Download
Download a file
Move
Move a file to another folder
Share
Add sharing permissions to a file
Update
Update a file
Upload
Upload an existing file to Google Drive
Search
Search or list files and folders
Create
Create a folder
Delete
Permanently delete a folder
Share
Add sharing permissions to a folder
Create
Create a shared drive
Delete
Permanently delete a shared drive
Get
Get a shared drive
Get Many
Get the list of shared drives
Update
Update a shared drive

FAQs

  • Can Google Drive connect with Vector Store Tool?

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

  • Can I use Vector Store Tool’s API with n8n?

  • Is n8n secure for integrating Google Drive and Vector Store Tool?

  • How to get started with Google Drive and Vector Store Tool integration in n8n.io?

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