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Chat with Llama through Ollama using structured JSON responses

14 nodes 507 187 Automatic trigger
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Workflow Description

An automation template that captures user messages through a chat interface, processes them using advanced language processing chains, and executes appropriate actions based on intelligent text analysis using a local language model.

How it works

  1. 1.Capture incoming user messages through the chat trigger
  2. 2.Process received text using a language processing chain
  3. 3.Analyze queries with a local language model engine
  4. 4.Execute relevant actions based on analysis results

Use cases

  • Automatically respond to customer inquiries with contextual intelligence
  • Classify and route incoming messages to appropriate teams or departments
  • Extract and organize key information from customer communications automatically

Requirements

  • Server or device running Ollama language model locally
  • Active and secure chat connection configuration
  • Clearly defined text patterns and intent recognition rules

Service Value

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

Apps Used

Chat Trigger LLM Chain Lm Ollama

Details

Trigger Automatic trigger
Nodes 14
Apps 3
Views 507
Downloads 187

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 (14)

/

When chat message received

Chat Trigger

#1

Basic LLM Chain

LLM Chain

#2

Ollama Model

Lm Ollama

#3

Sticky Note

Sticky Note

#4

Sticky Note1

Sticky Note

#5

Sticky Note2

Sticky Note

#6

Sticky Note3

Sticky Note

#7

Sticky Note4

Sticky Note

#8

Sticky Note5

Sticky Note

#9

Sticky Note6

Sticky Note

#10

Structured Response

Set

#11

Error Response

Set

#12

Sticky Note7

Sticky Note

#13

JSON to Object

Set

#14
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