Comparisons
Comparisons
Comparative guides covering Prefactor, agent evaluation and observability tools, self-built approaches, and adjacent platform choices.
Key terms
Coding agent speed vs accuracy: how to decide
Accuracy-optimized agents lower defect rates; speed-optimized ones cut latency. The right choice depends on deployment stage, cascade risk, and cost per accep
Agentic AI vs generative AI: what is the difference?
Generative AI produces content from a prompt. Agentic AI wraps a generative model in a goal-seeking loop that plans, calls tools, and acts.
LangChain vs LangGraph: what is the difference?
LangChain provides components for building LLM apps. LangGraph adds stateful, graph-based orchestration for agents. Most complex agents use both.
RAG vs fine-tuning: which one does your use case need?
RAG adds external knowledge at query time. Fine-tuning bakes behaviour into the weights. Most teams eventually need both, for different reasons.