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AI Agents

Search company documents from Google Drive using AI-powered answers

15 nodes 594 195 Automatic trigger
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Workflow Description

An intelligent workflow that retrieves documents from Google Drive, segments them into searchable chunks, stores embeddings in a vector database, and deploys an AI agent powered by Google Gemini to answer employee questions about company content in real time.

How it works

  1. 1.Automatically load documents from specified Google Drive folders
  2. 2.Split text into chunks and convert to embeddings using Google Gemini
  3. 3.Store vectors in Pinecone for fast semantic search and retrieval
  4. 4.Activate an AI agent that responds to chat questions using retrieved documents
  5. 5.Maintain conversation history for improved context and continuity

Use cases

  • Instant answers to employee questions about company policies, procedures, and contracts
  • Internal AI assistant that responds to team inquiries based on organizational documents
  • On-demand document analysis and summaries for long-form content

Requirements

  • Google Cloud account with Google Drive API and Gemini API enabled
  • Pinecone API key for vector storage and retrieval
  • Read access to target folders in Google Drive
  • Active subscription to Google Gemini service

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

Vector Store Gemini Document Default Data Loader Text Splitter AI Agent Google Drive Memory Chat Trigger

Details

Trigger Automatic trigger
Nodes 15
Apps 8
Views 594
Downloads 195

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (15)

/

Pinecone Vector Store

Vector Store Pinecone

#1

Embeddings Google Gemini

Gemini Model

#2

Default Data Loader

Document Default Data Loader

#3

Recursive Character Text Splitter

Text Splitter Recursive Character Text Splitter

#4

AI Agent

Agent

#5

Vector Store Tool

Tool Vector Store

#6

Pinecone Vector Store (Retrieval)

Vector Store Pinecone

#7

Embeddings Google Gemini (retrieval)

Gemini Model

#8

Download File From Google Drive

Google Drive

#9

Sticky Note2

Sticky Note

#10

Google Drive File Updated

Google Drive Trigger

#11

Google Drive File Created

Google Drive Trigger

#12

Window Buffer Memory

Memory Buffer Window

#13

When chat message received

Chat Trigger

#14

Sticky Note

Sticky Note

#15

Google Gemini Chat Model

Gemini Model

#16

Google Gemini Chat Model (retrieval)

Gemini Model

#17

Sticky Note1

Sticky Note

#18

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