Document-based chatbot with memory using OpenAI, Pinecone and Google Drive
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
Nodes used (17)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Airtable Tool
n8n-nodes-base.airtableTool - Airtable
n8n-nodes-base.airtable - Aggregate
n8n-nodes-base.aggregate - Merge
n8n-nodes-base.merge - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Manual Trigger
n8n-nodes-base.manualTrigger - Google Drive
n8n-nodes-base.googleDrive - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - Vector Store Question Answer Tool
@n8n/n8n-nodes-langchain.toolVectorStore - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter
What it does
Who is This For? This is for normal people or people just starting off and wanting to have a AI chatbot that can process data to use when talking to the user. How to Use You will need to have your own OpenRouter (Free) and OpenAI APIs as well as Google Drive, Pinecone, and Airtable. What Do You Want? If you want to have your AI Agent remember the user's preferences even after the session is over then you can keep the Airtable node in, if not you can delete it.