AI Agents

Automate Google Sheets with Intelligent Agent

11 nodes 273 163 Webhook
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Workflow Description

Automation receives webhook requests and processes them through an intelligent agent powered by a language model, storing processed data in Google Sheets. Integrates text splitting, embeddings, and contextual memory for smart data handling and retrieval.

How it works

  1. 1.Receive request via webhook and route to intelligent agent
  2. 2.Split text and compute embeddings with vector store search
  3. 3.Process query using language model while maintaining conversation history
  4. 4.Save results to Google Sheets

Use cases

  • Automatically process user inquiries and log them to spreadsheets
  • Enrich data with contextual memory and relevant content retrieval
  • Convert unstructured requests into structured spreadsheet entries

Requirements

  • Google Sheets API key and access credentials
  • Hugging Face account for embeddings and language model
  • Redis instance for vector store management

Service Value

Ready-made workflow template for automation delivery and service execution.

Apps Used

Text Splitter Embeddings Vector Store Memory Lm Chat Hf AI Agent Google Sheets

Details

Trigger Webhook
Nodes 11
Apps 7
Views 273
Downloads 163

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 (11)

/

Sticky

Sticky Note

#1

Webhook

Webhook

#2

Splitter

Text Splitter Character Text Splitter

#3

Embeddings

Embeddings Hugging Face

#4

Insert

Vector Store Redis

#5

Query

Vector Store Redis

#6

Tool

Tool Vector Store

#7

Memory

Memory Buffer Window

#8

Chat

Lm Chat Hf

#9

Agent

Agent

#10

Sheet

Google Sheets

#11