Yes, AXYS is purpose-built for Retrieval Augmented Generation (RAG) workflows. The platform provides pre-built, proprietary RAG pipelines that are ready to use out of the box, enabling your AI agents to retrieve and leverage relevant data efficiently. At the same time, AXYS offers extensive no-code customization—allowing you to adapt and configure every aspect of the workflow, from data source selection and filtering to prompt design and output formatting. This flexibility means you can create tailored RAG pipelines that fit your specific business, use case, and AI agent requirements, all without custom coding.

Yes, AXYS fully supports the creation of Retrieval Augmented Generation (RAG) workflows for your AI agents. With AXYS, you can automatically connect, organize, and structure both structured and unstructured data, making it instantly accessible for AI models. The no-code interface lets you set up RAG pipelines without any custom development, and AXYS optimizes each query to deliver only the most relevant data to your AI agents. This approach not only enhances the accuracy and context of AI-generated responses but also reduces token usage and operational costs for large language models.