AI Agents
Build an intelligent chatbot agent with vector knowledge retrieval
7 nodes
413
198
Automatic trigger
Workflow Description
This automation receives messages through a chat interface and routes them to an intelligent agent powered by Anthropic's Claude. The agent searches a Pinecone vector database for relevant information and responds with contextually accurate answers based on your stored knowledge base.
How it works
- 1.Receive the user message from the chat trigger
- 2.Convert text to embeddings using OpenAI
- 3.Search Pinecone vector database for relevant information
- 4.Process the query and context through Claude AI agent
- 5.Return the response to the user in chat
Use cases
- Deploy an automated customer support system answering common questions
- Build an intelligent assistant that queries an internal knowledge base
- Automate responses to inquiries with full contextual understanding
Requirements
- Anthropic Claude API key
- OpenAI API key for embeddings
- Active Pinecone account with pre-configured vector database
- Chat Trigger enabled in n8n
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Chat Trigger
N8N
AI Agent
Anthropic
Vector Store
OpenAI
Details
Trigger
Automatic trigger
Nodes
7
Apps
6
Views
413
Downloads
198
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 (7)
When chat message received
Chat Trigger
n8n
N8N
Workflow Link
Set
n8n Builder
Agent
Opus 4
Lm Chat Anthropic
Pinecone Vector Store
Vector Store Pinecone
Embeddings OpenAI
OpenAI