Reference Guides — Tools, Frameworks & Platform Comparisons
Hands-on comparisons and decision guides for the tools and platforms GenAI engineers use daily. Each guide includes architecture diagrams, trade-off analysis, and production recommendations.
Tutorials & Guides
Section titled “Tutorials & Guides”- LangChain Tutorial — Build chains, agents, and tool-calling pipelines from scratch
- LangGraph Tutorial — Stateful agent graphs with cycles, branching, and human-in-the-loop
- Pydantic AI — Type-safe LLM agents with structured outputs and dependency injection
- OpenAI Assistants API — Threads, runs, and tool use with OpenAI’s managed agent API
- Anthropic API Guide — Claude models, messages API, and tool use patterns
- Hugging Face Guide — Models, datasets, inference API, and open-source ecosystem
Framework Comparisons
Section titled “Framework Comparisons”- LangChain vs LangGraph — Chain-based orchestration vs graph-based agent workflows
- LangChain vs LlamaIndex — Orchestration framework vs data-focused retrieval framework
- LlamaIndex vs Haystack — Data framework vs search-focused pipeline builder
- Agentic Frameworks Compared — LangGraph, CrewAI, and AutoGen side-by-side
- LangGraph vs CrewAI — Graph-based vs role-based multi-agent orchestration
- AutoGen vs LangGraph — Microsoft’s conversational agents vs LangGraph’s state machines
- CrewAI vs AutoGen — Role-based crews vs multi-agent conversations
- Fine-Tuning vs RAG — When to customize the model vs augment with retrieval
Observability & Evaluation
Section titled “Observability & Evaluation”- LLM Observability — Tracing, monitoring, and debugging LLM applications in production
- LangSmith vs Langfuse — Observability platforms for tracing, evaluation, and debugging LLM apps
- Langfuse vs Phoenix Arize — Open-source observability platforms compared
Vector Databases
Section titled “Vector Databases”- Vector DB Comparison — Pinecone, Weaviate, Chroma, Qdrant, and more
- Pinecone vs Weaviate — Managed vs self-hosted vector database
- Chroma vs FAISS — Lightweight vector stores for prototyping and production
- Cohere vs OpenAI Embeddings — Embedding model comparison for RAG pipelines
Architecture & Protocols
Section titled “Architecture & Protocols”- Model Context Protocol (MCP) — The open standard for connecting LLMs to external tools and data
- MCP Server Tutorial — Build your own MCP server step-by-step
AI Code Editors
Section titled “AI Code Editors”- AI Code Editors Compared — Cursor, GitHub Copilot, Windsurf, and Claude Code side-by-side
- Cursor AI Guide — AI-first code editor with inline generation and chat
- Claude Code Guide — Anthropic’s agentic CLI coding tool
- GitHub Copilot — AI pair programming assistant for VS Code and JetBrains
- Cursor vs Claude Code — AI IDE vs CLI coding agent compared
- OpenCode vs Claude Code — Open-source terminal AI vs Claude Code
- Gemini CLI vs Claude Code — Google’s CLI agent vs Anthropic’s CLI agent
- Antigravity vs Cursor — AI-native IDE vs VS Code fork
- OpenAI Codex — OpenAI’s code generation agent and CLI tool
- Vibe Coding — The emerging natural-language-first coding paradigm
AI Models
Section titled “AI Models”- AI Models Hub — Complete guide to leading AI models and their capabilities
- Claude AI Guide — Anthropic’s Claude models, API, and use cases
- OpenAI GPT Guide — GPT-4, GPT-5, and the OpenAI ecosystem
- Gemini AI Guide — Google’s Gemini models and API
- Llama Guide — Meta’s open-source Llama models
- Claude Sonnet vs Haiku — Choosing between Anthropic’s model tiers
- Claude vs ChatGPT — Anthropic vs OpenAI model comparison
- Claude vs Gemini — Anthropic vs Google model comparison
- GPT vs Gemini — OpenAI vs Google model comparison
Cloud AI Platforms
Section titled “Cloud AI Platforms”- Cloud AI Platforms Overview — Comparing AWS, Google Cloud, and Azure AI services
- AWS Bedrock — Managed foundation models on AWS
- Google Vertex AI — Google’s unified ML and GenAI platform
- Azure AI Foundry — Microsoft’s unified AI platform (1,800+ models)
- Bedrock vs Vertex AI — AWS vs Google cloud AI head-to-head
- Azure vs Bedrock — Microsoft vs Amazon AI services compared