Bitrix24 AI-Powered RAG Chatbot for Open Line Channels
Embeddings OllamaGoogle Gemini Chat Model
HTTP Request
Qdrant Vector Store
Question and Answer Chain
Recursive Character Text Splitter
Vector Store RetrieverOverview Transform your Bitrix24 Open Line channels with an intelligent chatbot that leverages Retrieval-Augmented Generation (RAG) technology to provide accurate, document-based responses to customer inquiries in real-time. Use Case This workflow is designed for organizations that want to enhance their customer support capabilities in Bitrix24 by providing automated, knowledge-based responses to customer inquiries. It's particularly useful for: Customer service teams handling repetitive questions Support departments with extensive documentation Sales teams needing quick access to product information Organizations looking to provide 24/7 customer support What This Workflow Does Smart Document Processing Automatically processes uploaded PDF documents Splits documents into manageable chunks Generates vector embeddings for semantic understanding Indexes content for efficient retrieval AI-Powered Responses Utilizes Google Gemini AI to generate natural language responses Constructs answers based on relevant document content Maintains conversation context for coherent interactions Provides fallback responses when information is not available Vector Database Integration Stores document em
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Embeddings OllamaGoogle Gemini Chat ModelWHTTP RequestQdrant Vector StoreQuestion and Answer ChainRelated workflows
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