About
A robust framework provides a structured approach to building sophisticated Large Language Model applications, integrating Retrieval-Augmented Generation (RAG) for enhanced knowledge retrieval. It features an intelligent routing layer to classify user queries, dynamic prompt management for various agents, and a flexible execution engine to interact with different LLM providers. Designed for extensibility, it organizes components into distinct layers for configuration, prompt templating, data infrastructure, and core logic, facilitating the creation of powerful, context-aware AI solutions.