Bitrix24 AI-Powered RAG Chatbot for Open Lines

This n8n workflow creates an intelligent chatbot for Bitrix24 Open Line channels using Retrieval-Augmented Generation (RAG) technology. It processes uploaded PDF documents by splitting them into chunks, generating vector embeddings, and indexing them in a Qdrant vector database for semantic search. Incoming messages from Bitrix24 are handled via webhook, with authentication, event routing (e.g., ONIMBOT), and conversation context maintenance.

For customer queries, the workflow retrieves the most relevant document chunks from Qdrant, feeds them to Google Gemini AI for natural language response generation, and sends coherent replies back to Bitrix24. Fallback responses ensure smooth interactions when data is unavailable. Document knowledge base grows persistently as new files are added.

Ideal for customer service, support teams, sales, and 24/7 automation, it reduces response times, minimizes human intervention for repetitive queries, and scales with extensive documentation. Benefits include cost savings, improved accuracy over keyword search, and seamless CRM integration, making it valuable for businesses seeking AI-enhanced support.