This project is a library of reference implementations and blueprints for deploying large language models and generative AI workflows. It provides a collection of practical examples designed to guide the deployment of generative systems.
The repository features architectural patterns for autonomous agentic workflows that utilize reasoning and tool integration to execute multi-step tasks. It also includes frameworks and templates for building retrieval-augmented generation pipelines that connect language models to vector databases and external data sources.
The codebase covers several functional areas, including the construction of knowledge graphs for structured relational data and the integration of voice interfaces for speech-to-text and text-to-speech processing. It also provides tools for evaluating the quality and reliability of model outputs and optimizing retrieval performance.