Use Cases
- Automate document handling from Telegram to a database
- Enable chat-based queries on stored PDF content
- Streamline information retrieval using AI embeddings
How It Works
Trigger workflow upon receiving a document in Telegram Fetch the document and convert it to PDF format Split the document into chunks for efficient processing Embed the chunks into a Pinecone vector store Allow users to query the database through a chat interface
Setup Steps
- 1Import the workflow template into n8n
- 2Connect your Telegram and Pinecone accounts
- 3Configure the Telegram trigger with your bot credentials
- 4Set up the Pinecone vector store with the desired index
- 5Test the workflow by sending a PDF document to your Telegram bot
Apps Used
Telegram
OpenAI
Pinecone
Categories
Target Roles
Industries
Tags
#document automation
#process automation
#ai chatbots