Intelligent PDF Q&A Bot for Telegram
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Effortlessly build a Telegram bot that answers questions based on your PDF documents. This workflow leverages AI to extract information from PDFs and provides intelligent responses directly within your Telegram chats.
About This Workflow
Transform your Telegram into a smart knowledge base! This n8n workflow empowers you to create a powerful AI-driven chatbot capable of understanding and answering questions from your PDF documents. Simply send a PDF to the bot, and it will process, index, and become ready to answer your queries. The workflow intelligently fetches files from Telegram, splits them into manageable chunks, embeds them using OpenAI for semantic understanding, and stores them in a Pinecone vector database. When you ask a question, the bot retrieves relevant information from the indexed PDFs and formulates a concise, accurate answer using a powerful Groq language model.
Key Features
- Seamless PDF Ingestion: Upload PDFs directly via Telegram for immediate processing.
- Intelligent Information Retrieval: AI-powered RAG (Retrieval Augmented Generation) for accurate answers.
- Scalable Vector Database: Utilizes Pinecone for efficient storage and retrieval of document embeddings.
- Flexible AI Models: Supports advanced models like Groq's Llama 3.1 for sophisticated natural language understanding.
- Automated Workflow: Fully automated process from document upload to question answering.
How To Use
- Set up Telegram Trigger: Configure your Telegram bot's API token to receive messages.
- Handle Document Upload: Use the 'Check If is a document' node to identify incoming PDF files. If it's a document: a. Fetch File: Use 'Telegram get File' to retrieve the PDF content. b. Set MIME Type: Employ the 'Change to application/pdf' code node to ensure correct file type processing. c. Load Data: Utilize 'Default Data Loader' to prepare the PDF for embedding. d. Split Text: Configure 'Recursive Character Text Splitter' to break the PDF into manageable chunks. e. Embed Documents: Use 'Embeddings OpenAI' to generate vector embeddings for each text chunk. f. Store in Pinecone: Connect 'Pinecone Vector Store1' to index your embeddings in a Pinecone index (e.g., 'telegram'). g. Notify User: Send a confirmation message via Telegram.
- Handle Text Queries: If the incoming message is not a document: a. Set Up Retriever: Configure 'Vector Store Retriever' to query your Pinecone index. b. Formulate Question: Use 'Question and Answer Chain' with 'Groq Chat Model' and your chat message to retrieve information from the vector store and generate an answer. c. Send Response: Use 'Telegram Response' to send the AI-generated answer back to the user via Telegram.
- Error Handling: Connect any problematic nodes to 'Stop and Error' for debugging.
Apps Used
Workflow JSON
{
"id": "68577d7e-5b2c-4c6d-b878-6752093f1df8",
"name": "Intelligent PDF Q&A Bot for Telegram",
"nodes": 11,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 68577d7e-5b2c...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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