File processing and response automation in Telegram

• Automate responses to document submissions in Telegram.
• Store and retrieve document data efficiently using vector databases.
• Enhance user interaction with AI-driven responses based on document content.

Trigger on new document messages in Telegram. Check if the received message contains a document. Retrieve the document file from Telegram. Modify the file metadata to ensure correct format. Load the document data for processing. Store the processed data in a Pinecone vector store. Respond to the user with relevant information about the processed document.

1. 1
   Import the workflow template into n8n.
2. 2
   Connect your Telegram account to the Telegram Trigger node.
3. 3
   Set up your Pinecone vector store credentials.
4. 4
   Configure OpenAI embeddings and language model credentials.
5. 5
   Test the workflow by sending a document in Telegram.