Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI

Understand

Large language models (LLMs) have gained significant interest in industry due to their impressive capabilities across a wide range of tasks.

• However, the widespread adoption of LLMs presents several challenges, such as integration into existing applications and infrastructure, utilization of company proprietary data, models, and APIs, and meeting cost, quality, responsiveness, and other requirements.
• To address these challenges, there is a notable shift from monolithic models to compound AI systems, with the premise of more powerful, versatile, and reliable applications.
• However, progress thus far has been piecemeal, with proposals for agentic workflows, programming models, and extended LLM capabilities, without a clear vision of an overall architecture.