Build Your Own AI Chatbot with Custom Knowledgebase on Telegram
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Empower your Telegram bot with a custom knowledge base. This workflow allows you to upload documents and have your AI answer questions based on that private data, creating a truly personalized and intelligent assistant.
About This Workflow
This n8n workflow orchestrates a powerful AI chatbot capable of understanding and responding to user queries based on a provided knowledge base. Leveraging LangChain, it ingests your documents, splits them into manageable chunks, and stores them in an in-memory vector store. When a user interacts via Telegram, the AI agent retrieves relevant information from your knowledge base using a retrieve-as-tool approach. It then uses a Groq chat model to generate an informed response, ensuring the AI stays within the bounds of your provided data. This workflow is ideal for creating specialized AI assistants for customer support, internal knowledge management, or personalized information retrieval.
Key Features
- Custom Knowledge Integration: Upload your own documents (.pdf, .csv) to form the AI's knowledge base.
- Telegram Integration: Seamlessly deploy your AI chatbot on Telegram for easy access.
- Intelligent Question Answering: AI answers queries strictly based on your uploaded knowledge.
- Efficient Data Processing: Utilizes LangChain's text splitting and vector store capabilities.
- Groq Powered: Leverages fast and efficient Groq LLMs for intelligent responses.
How To Use
- Upload Your Data: Use the 'Upload your file here' Form Trigger node to upload your
.pdfor.csvfiles. - Process Data: The workflow automatically processes your uploaded documents using a
Recursive Character Text SplitterandDefault Data Loader. - Store Data: Your processed documents are stored in an in-memory
Simple Vector StoreusingEmbeddings HuggingFace Inference. - Enable Telegram Interaction: Configure the
Telegram Message Trigger1to receive messages from your Telegram bot. - AI Agent Configuration: The
AI Agent1is set up to use your uploaded data as a knowledge base and to respond via Telegram. - Memory Management:
Simple Memorynode is used to maintain conversational context. - Retrieve and Respond: The
Retrieve documentsnode fetches relevant information, and theGroq Chat Modelgenerates the final response, which is sent back to the user via theReply in Telegram1node.
Apps Used
Workflow JSON
{
"id": "9a432a00-1556-4c3e-b058-19fc0b47c343",
"name": "Build Your Own AI Chatbot with Custom Knowledgebase on Telegram",
"nodes": 15,
"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: 9a432a00-1556...
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