How Winweb Built its AI Assistant with DataStax Astra DB and LangChain

Winweb, an ERP software provider for the food and wholesale sectors, has integrated AI into its customer service infrastructure by developing an AI Assistant. The intelligent assistant is trained to answer questions about Winweb using information from the WinwebWiki and winweb-food help platforms. Through a collaboration with DataStax, Winweb introduced a chatbot powered by retrieval-augmented generation (RAG), enabling precise responses to complex queries by performing targeted searches across diverse information sources. The AI Assistant significantly enhances customer interaction by providing highly relevant and accurate information. Winweb uses Azure OpenAI's GPT 4 as the LLM, text-embedding-ada-002 as the embedding model, and LangChain for efficient data retrieval from DataStax Astra DB. Prioritizing data protection standards, customer data is secured using encryption protocols and hosting within the European Union. Winweb's AI Assistant has reduced the time required to find answers by 20X and aims to optimize support workflows and improve overall operational efficiency. The company plans to develop custom chatbots tailored to each customer's specific domain data, utilizing Langflow for rapid integration and experimentation.