Topic
Choosing an AI Framework by Use Case
10 posts on choosing an ai framework by use case — part of framework tutorials on the n4n AI blog.
Choosing an AI framework for document processing at scale
A practitioner's path to picking the best ai framework for document processing at scale: workload profiling, extraction vs RAG, idempotent batches, and inference fallback.
Choosing a framework for multi-step research agents
A practical guide to selecting the best framework for research agents that perform multi-step tasks, covering state, tools, and tradeoffs.
Best framework for RAG: LangChain, LlamaIndex, or Haystack
A practitioner's head-to-head comparison of LangChain, LlamaIndex, and Haystack for RAG across capabilities, cost, latency, and ergonomics.
Best framework for agents that call external APIs and tools
A practical comparison of the best framework for tool-calling agents, weighing LangChain, LlamaIndex, AutoGen, CrewAI, and Pydantic AI for API integration.
Best AI framework for voice and real-time agents
A practitioner's comparison of the best AI frameworks for voice and real-time agents, covering LiveKit, Pipecat, Vapi, Retell, and OpenAI Realtime.
Best AI framework for data analysis and SQL agents
Practical comparison of the best AI frameworks for SQL agents: LangChain, LlamaIndex, DSPy, Vanna, Haystack, and custom Python with code and tradeoffs.
Best AI agent framework for startups shipping an MVP
A pragmatic comparison of the best ai agent framework for startup mvp options—LangChain, LlamaIndex, AutoGen, CrewAI, and Pydantic AI—with code.
Best AI agent framework for coding assistants
A practitioner's comparison of the best AI agent frameworks for coding assistants, scored on repo context, tooling, and multi-agent control.
Best AI agent framework for chatbots in 2026
A hands-on comparison of the best AI agent framework for chatbots in 2026, with code and tradeoffs for LangGraph, AutoGen, CrewAI, Semantic Kernel, and OpenAI Agents.
Best agent framework for enterprise workflow automation
A practitioner's comparison of five agent frameworks for enterprise workflow automation, covering LangGraph, Temporal, Prefect, Semantic Kernel, and CrewAI.
More topics in framework tutorials
- AutoGen Agent Teams for Research & Automation11
- Framework Tutorials: Legal & Healthcare Document Q&A9
- One Backend, Every Model: Swapping GPT-5, Claude, Gemini & Llama Across Frameworks9
- AutoGen Human-in-the-Loop Workflows8
- LangChain Multi-Model Fallback & Routing8
- AutoGen Getting Started with n4n.ai7
- AutoGen Multi-Agent Conversations & Group Chat7
- Building Chatbots with Vercel AI SDK & Next.js7
- CrewAI Agent Roles & Task Design7
- CrewAI Getting Started with n4n.ai7
- CrewAI Real-World Crew Examples7
- Framework Tutorials: Customer Support Bots7