Hybrid AI: Combining Deterministic Analytics with LLM Reasoning

Standard agentic AI systems using LLMs for data analysis can produce plausible but incorrect results, fabricating outputs that appear convincing. To solve this, a Hybrid AI architecture is proposed to ensure reliable and accurate analytics. This system separates probabilistic LLM reasoning from deterministic data execution by using two main components. An 'Analysis Planner' LLM translates natural language requests into a structured, deterministic analysis plan, while a separate 'Analysis Engine' executes this plan precisely. This approach ensures foundational data analysis is accurate and reproducible before the results are passed to an LLM for interpretation and user interaction.