dialog
The Dialog project enables the deployment of Retrieval-Augmented Generation (RAG) systems and simplifies the process of working with large language models (LLMs) without needing deep API expertise. It leverages cutting-edge frameworks like dialog-lib to enhance and humanize RAG interactions. With streamlined Docker integration, the project facilitates easy set-up and efficient execution, allowing developers to concentrate more on training models. Access various tutorials for quick ChatGPT deployment and RAG implementation, supported by sponsors and maintainers that aid in continuous project enhancement.
