How to meow on the long tail with Cheshire Cat AI? - Piero and Nicola | Vector Space Talks

Cheshire Cat AI is an open-source framework that has evolved from a simple tutorial to a comprehensive platform used by companies across Italy, Germany, and the USA for various applications. Founded by Piero Savastano, who has a background in deep learning, the framework leverages Qdrant as its native database, supporting it in file-based, container-based, and cloud-based forms. The framework is designed to be model-agnostic and features a plugin system that allows for extensive customization, enabling users to perform retrieval-augmented generation over documents and conversations. Nicola Procopio, a contributor with significant experience in data science, discusses how Cheshire Cat employs Qdrant's quantization to enhance search accuracy and performance while maintaining a focus on user needs. The platform's community-driven development is highlighted by its active Discord server and the potential for a future cloud version that includes a marketplace for user-generated plugins, promoting a WordPress-style ecosystem. Despite challenges, such as integrating advanced features without losing sight of user requirements, Cheshire Cat AI continues to grow, fostering a vibrant community that contributes to its ongoing success.