This n8n workflow creates an AI-powered legal assistant chatbot that interacts with users via Telegram to answer legal questions by retrieving relevant information from a document library. It integrates OpenAI models, Pinecone vector database, and Telegram for real-time, contextual legal queries.
The workflow begins with a Telegram Trigger node, which activates the process when a user sends a message. The message is passed to an AI Agent node configured as a helpful legal assistant, which uses a retrieval-augmented generation (RAG) setup. The AI agent refers to the Pinecone vector database containing legal contracts, policies, and regulatory documents, to find relevant clauses or information.
A Pinecone node performs a vector search within the document library based on the user’s query, while an Embeddings node converts documents into vector embeddings for efficient retrieval. The conversation context is maintained using a Memory Buffer node, ensuring that follow-up questions are understood in context. The final response, generated by an OpenAI GPT model, is sent back to the user through Telegram.
This workflow is ideal for legal teams, law firms, compliance departments, or legal tech startups aiming to automate internal or client-facing legal Q&A, streamline document searches, and improve information accessibility using AI and chatbots.
Reviews
There are no reviews yet.