Chat with your PDF documents using PageIndex vectorless RAG via Telegram
Ready for 3.0What this workflow does
This workflow has 8 nodes and runs on Telegram events (message) (plus 1 other trigger). Along the way it connects Telegram. It also calls api.pageindex.ai over HTTP.
How it runs
Trigger: On Telegram events (message) (plus 1 other trigger).
- Download PDF File (Telegram): work with file
- Fetch All Indexed Documents (HTTP Request): calls api.pageindex.ai
- Index PDF on PageIndex (HTTP Request): calls api.pageindex.ai (POST)
- Extract Document IDs (Edit Fields (Set)): sets 1 field: doc_ids
- LLM Reasoning over Document Tree (HTTP Request): calls api.pageindex.ai (POST)
- Send Answer to User (Telegram): uses Telegram
Services it uses
HTTP calls to: api.pageindex.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 (4)
- Telegram Trigger
n8n-nodes-base.telegramTrigger - Telegram
n8n-nodes-base.telegram - HTTP Request
n8n-nodes-base.httpRequest - Edit Fields (Set)
n8n-nodes-base.set
From the author
Build a Vectorless PDF Knowledge Bot on Telegram Using PageIndex RAG 👤 Who Is This For? This template is built for developers, researchers, and automation builders who want to create a document Q&A system — without the complexity of vector databases,…