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Graph-of-Thought(GoT)
Non-linear reasoning with thoughts as nodes and dependencies as edges
🎯 30-Second Overview
Pattern: Non-linear reasoning network with nodes (thoughts) and edges (dependencies) enabling cross-path synthesis
Why: Supports complex interdependent problems through backtracking, merging, and conflict resolution
Key Insight: Thoughts as graph nodes → Explicit dependencies → Cross-path merging → Coherent synthesis
⚡ Quick Implementation
📋 Do's & Don'ts
🚦 When to Use
Use When
- • Complex problems with interdependent sub-goals
- • Research synthesis from conflicting sources
- • Multi-constraint optimization problems
- • Strategic planning with trade-offs
- • When path merging creates synergies
Avoid When
- • Simple linear reasoning tasks
- • Strict latency/cost constraints
- • Domains without reliable evaluators
- • When Tree-of-Thought suffices
- • Real-time applications
📊 Key Metrics
💡 Top Use Cases
References & Further Reading
Deepen your understanding with these curated resources
Academic Papers
Graph of Thoughts: Solving Elaborate Problems with Large Language Models (Besta et al., 2023)
Graph-of-Thought for Complex and Dynamic Business Problems (Li, 2024)
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., 2022)
Tree of Thoughts: Deliberate Problem Solving with Large Language Models (Yao et al., 2023)
Contribute to this collection
Know a great resource? Submit a pull request to add it.
Graph-of-Thought(GoT)
Non-linear reasoning with thoughts as nodes and dependencies as edges
🎯 30-Second Overview
Pattern: Non-linear reasoning network with nodes (thoughts) and edges (dependencies) enabling cross-path synthesis
Why: Supports complex interdependent problems through backtracking, merging, and conflict resolution
Key Insight: Thoughts as graph nodes → Explicit dependencies → Cross-path merging → Coherent synthesis
⚡ Quick Implementation
📋 Do's & Don'ts
🚦 When to Use
Use When
- • Complex problems with interdependent sub-goals
- • Research synthesis from conflicting sources
- • Multi-constraint optimization problems
- • Strategic planning with trade-offs
- • When path merging creates synergies
Avoid When
- • Simple linear reasoning tasks
- • Strict latency/cost constraints
- • Domains without reliable evaluators
- • When Tree-of-Thought suffices
- • Real-time applications
📊 Key Metrics
💡 Top Use Cases
References & Further Reading
Deepen your understanding with these curated resources
Academic Papers
Graph of Thoughts: Solving Elaborate Problems with Large Language Models (Besta et al., 2023)
Graph-of-Thought for Complex and Dynamic Business Problems (Li, 2024)
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., 2022)
Tree of Thoughts: Deliberate Problem Solving with Large Language Models (Yao et al., 2023)
Contribute to this collection
Know a great resource? Submit a pull request to add it.