AI Agents

Search and Answer Company Documents from Google Drive

18 nodes 330 110 Automatic trigger
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Workflow Description

A workflow that retrieves documents from Google Drive, converts them into searchable vector embeddings, and answers employee questions using Gemini AI while maintaining conversation history for contextual responses.

How it works

  1. 1.Automatically fetch documents from a specified Google Drive folder
  2. 2.Split lengthy texts into manageable paragraphs
  3. 3.Convert text segments into numerical vectors and store them in Pinecone
  4. 4.Search for relevant information based on user queries
  5. 5.Generate accurate responses using Gemini with source attribution
  6. 6.Retain conversation history for continuous context

Use cases

  • Enable employees to instantly access policies and procedures from company documentation
  • Quickly summarize lengthy documents and locate specific information within them
  • Provide customer support with verified information from company knowledge base

Requirements

  • Google account with access permissions to Google Drive
  • Gemini API key from Google Cloud
  • Pinecone account or equivalent vector database service
  • Well-formatted source documents stored in the source folder

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 18
Apps 8
Views 330
Downloads 110

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 (18)

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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