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RAG_chatbot | 4 달 전 | |
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whatsapp_chatbot | 4 달 전 | |
README.md | 3 달 전 |
This repository contains various end-to-end use cases for building customer service chatbots using Meta's Llama 3. Below is an outline of the sub folders and their contents.
RAG_chatbot contains resources for building a Meta Llama 3 chatbot with Retrieval Augmented Generation (RAG). It contains a notebook which shows a complete example of how to build a Meta Llama 3 chatbot hosted on your browser that can answer questions based on your own data. It covers:
ai_agent_chatbot contains a Sales Bot with Llama3 - A Summarization and RAG Use Case notebook that demonstrates building a sales chatbot using Llama3 for targeted product recommendations. The workflow involves:
messenger_chatbot section provides a step-by-step guide to building a Llama-enabled Messenger chatbot. It includes integration details with the Messenger Platform and a demo video.
whatsapp_chatbot folder contains a tutorial for creating a Llama 3 enabled WhatsApp chatbot, similar to the Messenger chatbot guide. A demo video showcasing the use of iOS WhatsApp to send a question to a test phone number and receive a response generated by Llama 3 can be found here.
For more detailed information, please refer to the individual sub directory documentation and examples.