Optimize unstructured data for RAG with Blockify IdeaBlocks technology
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.
What this workflow does
This AI workflow has 15 nodes and runs manually, when you click “Execute workflow” (plus 1 other trigger). Along the way it connects Embeddings OpenAI, OpenAI Chat Model and Google Drive. It also calls api.blockify.ai over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow” (plus 1 other trigger).
- Download .TXT File for Ingest (Google Drive): download
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 1 tool (Query Data Tool)
- Extract Text from .TXT File (Extract from File): extracts data from a file (text)
- Chunk Text (Code): runs custom JavaScript code
- Loop Over Chunks (Loop Over Items (Split in Batches)): loops over the items in batches
- Blockify Ingest API (HTTP Request): calls api.blockify.ai (POST)
- Extract IdeaBlocks from API Response (Edit Fields (Set)): sets 1 field: choices[0].message.content
- Simple IdeaBlock Vector Store (Simple Vector Store): stores documents in the Simple vector store, with embeddings: Embeddings OpenAI; document loader: Default Data Loader
Services it uses
HTTP calls to: api.blockify.ai
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 (14)
- Manual Trigger
n8n-nodes-base.manualTrigger - Simple Vector Store
@n8n/n8n-nodes-langchain.vectorStoreInMemory - AI Agent
@n8n/n8n-nodes-langchain.agent - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Code
n8n-nodes-base.code - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Extract from File
n8n-nodes-base.extractFromFile - Google Drive
n8n-nodes-base.googleDrive - HTTP Request
n8n-nodes-base.httpRequest - Edit Fields (Set)
n8n-nodes-base.set
From the author
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Blockify® Data Optimization Workflow Blockify Optimizes Data for RAG - Giving Structure to Unstructured Data for ~78X Accuracy, when pairing Blockify Ingest…