Store AI chat conversations with OpenAI GPT-4.1-mini and Pinecone
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
Community nodes
These come from third-party npm packages. In n8n 3.0 unverified community packages are off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
@pinecone-database/n8n-nodes-pinecone-assistant(Get context from Assistant)
Nodes used (6)
- AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Pinecone Assistant Tool
@pinecone-database/n8n-nodes-pinecone-assistant.pineconeAssistantTool - HTTP Request
n8n-nodes-base.httpRequest - Edit Fields (Set)
n8n-nodes-base.set
What it does
How it works - Chat input triggers the workflow when a user sends a message. - The primary AI Agent processes the incoming message using OpenAI's Chat Model to generate intelligent responses. - Context is retrieved from an assistant service using the "Get context from Assistant" node to enhance response quality with relevant historical information. - A secondary AI Agent handles database logging by formatting and sending chat data via POST request to your storage endpoint. - The Edit Fields node structures the conversation data to match your database schema before storage. - All conversations are automatically stored with proper formatting, timestamps, and metadata for future retrieval and analysis.