This post discusses how to build a Customer Service Chatbot using Flask, Qdrant, LangChain, and Llama 2. It highlights the role of customer service chatbots in transforming the customer experience, and the versatility of chatbots in various industries. The post provides an overview of Flask, Qdrant, LangChain, and Llama 2, and explains their significance in building the chatbot. It also includes instructions on setting up the environment and implementing the RAG pipeline. The post concludes by discussing the functionalities of the chatbot and how users can interact with it.
Table of contents
Build a Customer Service Chatbot Using Flask, Llama 2, LangChain and QdrantIntroductionComponentsSetting Up the EnvironmentLaunching the app and interacting with our server (chatbot)ConclusionStackademicShare this post