Chat with PDF / MD / text files using GraphRAG (no vector store needed)
Needs changesWhat this workflow does
This AI workflow has 16 nodes and runs manually, when you click “Execute workflow” (plus 1 other trigger). Along the way it connects Google Drive, OpenAI Chat Model and HTTP Request. It also calls infranodus.com and v2.convertapi.com over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow” (plus 1 other trigger).
- Search Google Drive (Google Drive): work with file folder
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 1 tool (Knowledge Base GraphRAG); memory: Simple Memory
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Retrieve File (Google Drive): download
- Switch: routes items into 6 branches
- Extract from PDF (Extract from File): extracts data from a file (pdf)
- Extract from Text File (Extract from File): extracts data from a file (text)
- Extract from Markdown (Extract from File): extracts data from a file (text)
- Map PDF to Text (Edit Fields (Set)): sets 1 field: data
- InfraNodus Save to Graph (HTTP Request): calls infranodus.com (POST)
…plus 1 more step. See the full node list below.
Services it uses
HTTP calls to: infranodus.com, v2.convertapi.com
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (12)
- Google Drive
n8n-nodes-base.googleDrive - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Switch
n8n-nodes-base.switch - Extract from File
n8n-nodes-base.extractFromFile - HTTP Request
n8n-nodes-base.httpRequest - Edit Fields (Set)
n8n-nodes-base.set - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Http Request Tool
n8n-nodes-base.httpRequestTool - Manual Trigger
n8n-nodes-base.manualTrigger
From the author
Set up a chat with your documents without the complex vector store setup. This templates helps you - ingest your PDF / text / MD documents into a knowledge graph - use the graph as the knowledge base for your AI chatbots (and other workflows) - visualize the…