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AI Reasoning Patterns

LangGraph reasoning graphs turn a single question into verified, multi-path analysis instead of a one-shot completion. That is the difference between a chatbot and an analytics platform.

Chain-of-Verification drafts an answer, generates check questions, and re-reads your data before it commits. Claims that fail the check are rewritten or dropped.

Tree-of-Thought expands several analytical branches, scores them, and deepens the strongest path so the model is not locked into the first plausible story.

What this does for the business

  • Give executives numbers you can defend in a meeting, not a fluent guess.
  • Explore competing hypotheses (seasonality vs. promo vs. churn) in one call.
  • Reduce hallucinated KPIs before they reach a board pack or customer dashboard.

API

POST /api/langgraph/verify POST /api/langgraph/tree-of-thought

Try AI Reasoning Patterns on your data

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