AI Agents

Analyze Data with AI and Update Google Sheets Automatically

11 nodes 292 158 Webhook
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Workflow Description

This workflow receives requests via webhook, processes them using an OpenAI-powered AI agent with conversation memory, and automatically stores results and extracted insights in Google Sheets. It combines text processing, embeddings, and vector search for intelligent data management.

How it works

  1. 1.Receive incoming request through webhook and split long texts into manageable segments
  2. 2.Convert text segments into embeddings and store them in Weaviate vector database
  3. 3.Activate AI agent to search, retrieve, and reason about stored data
  4. 4.Maintain conversation context and reasoning in buffer memory for consistency
  5. 5.Write outputs and extracted insights directly to Google Sheets

Use cases

  • Process intelligent queries and document answers in shared spreadsheets
  • Analyze large text files and automatically extract key information
  • Build a searchable knowledge base that updates continuously through spreadsheets

Requirements

  • OpenAI API key with active account connection
  • Google Sheets access with edit permissions
  • Weaviate vector store or Cohere embeddings service configured

Service Value

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

Apps Used

Text Splitter Embeddings Vector Store Memory OpenAI AI Agent Google Sheets

Details

Trigger Webhook
Nodes 11
Apps 7
Views 292
Downloads 158

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

OpenAI

#9

Agent

Agent

#10

Sheet

Google Sheets

#11