AI-powered company documents Q&A assistant with Google Drive and GPT-4 mini
Ready for 3.0What this workflow does
This AI workflow has 12 nodes and runs when an HTTP POST request hits its webhook URL (plus 1 other trigger). Along the way it connects OpenAI Chat Model, Google Drive and Embeddings OpenAI.
How it runs
Trigger: When an HTTP POST request hits its webhook URL (plus 1 other trigger).
- Company Knowledge Assistant (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 1 tool (Search Company Documents); memory: Conversation History
- Fetch New Document (Google Drive): download
- Send Answer to User (Respond to Webhook): sends the response back to the webhook caller
- Store in Knowledge Base (Simple Vector Store): stores documents in the Simple vector store, with embeddings: Generate Document Embeddings; document loader: Load Document Content
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (11)
- OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Google Drive Trigger
n8n-nodes-base.googleDriveTrigger - Google Drive
n8n-nodes-base.googleDrive - Simple Vector Store
@n8n/n8n-nodes-langchain.vectorStoreInMemory - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent - Webhook
n8n-nodes-base.webhook - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Respond to Webhook
n8n-nodes-base.respondToWebhook
From the author
Company Knowledge Base Assistant Who's it for This workflow is designed for companies looking to onboard new employees and interns efficiently. It's perfect for HR teams, team leaders, and organizations that want to provide instant access to company knowledge…