AI Agents

Automate Google Sheets with AI Agent Processing

11 nodes 318 191 Webhook
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Workflow Description

A workflow that leverages an AI agent to process data and queries via webhook, storing vector embeddings and conversation context, then automatically writing results to Google Sheets for centralized data management.

How it works

  1. 1.Receive incoming request through webhook trigger
  2. 2.Split and embed text into vector format using Cohere embeddings
  3. 3.Store vectors in Weaviate and maintain conversation history in buffer memory
  4. 4.Route query to AI agent powered by Claude for intelligent processing
  5. 5.Write results and insights directly into Google Sheets cells

Use cases

  • Process complex data queries and insert intelligent answers into spreadsheets
  • Build a contextual AI assistant that learns from previous interactions and improves responses
  • Automate analysis of large document volumes and organize findings in sheets

Requirements

  • Anthropic API key for Claude model access
  • Google Sheets credentials with write permissions
  • Weaviate vector database or Cohere API subscription for embeddings

Service Value

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

Apps Used

Text Splitter Embeddings Vector Store Memory Anthropic AI Agent Google Sheets

Details

Trigger Webhook
Nodes 11
Apps 7
Views 318
Downloads 191

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 Cohere

#4

Insert

Vector Store Weaviate

#5

Query

Vector Store Weaviate

#6

Tool

Tool Vector Store

#7

Memory

Memory Buffer Window

#8

Chat

Lm Chat Anthropic

#9

Agent

Agent

#10

Sheet

Google Sheets

#11