AI Agents
Intelligent Text Analysis and Automated Sheets Logging
11 nodes
299
156
Webhook
Workflow Description
A smart automation that receives data via webhook, processes text through splitting and embedding generation, stores vectors in Weaviate for semantic retrieval, and routes requests through an AI agent powered by Hugging Face language models and context memory to analyze content and record results directly in Google Sheets.
How it works
- 1.Receive incoming data and text content via webhook trigger
- 2.Split text and generate OpenAI embeddings for semantic understanding
- 3.Store embeddings in Weaviate and retrieve contextually relevant information
- 4.Process requests through an AI agent using memory and Hugging Face LM Chat
- 5.Write analysis results and responses to Google Sheets automatically
Use cases
- Analyze customer feedback, generate summaries, and organize insights in spreadsheets
- Process recurring user queries and log answers with reasoning
Requirements
- Active OpenAI API key with embedding model access
- Weaviate instance with vector store configured and Hugging Face API key
- Google Sheets file with write permissions enabled
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Text Splitter
OpenAI
Vector Store
Memory
Lm Chat Hf
AI Agent
Google Sheets
Details
Trigger
Webhook
Nodes
11
Apps
7
Views
299
Downloads
156
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (11)
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Sticky
Sticky Note
Webhook
Webhook
Splitter
Text Splitter Character Text Splitter
Embeddings
OpenAI
Insert
Vector Store Weaviate
Query
Vector Store Weaviate
Tool
Tool Vector Store
Memory
Memory Buffer Window
Chat
Lm Chat Hf
Agent
Agent
Sheet
Google Sheets