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60 guides~6.1 hrs totalupdated Oct 14, 2026
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Agentic Search vs RAG: Which One Do You Actually Need? (2026)

Agentic search vs RAG, decided: a flowchart, real cost data, and the default that wins most of the time — plus exactly when to pay for the upgrade.

Intermediate · 6 min
AI Engineering
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60 on this page
Intermediate5 minChatGPT MCP: Connect Any MCP Server to ChatGPT (2026) ChatGPT MCP setup in 2026: turn on Developer Mode, add your MCP server as a custom connector over OAuth, and handle the write-confirmation gotcha.Beginner8 minEvaluate an AI Agent on a Local LLM: Free, No API Key (2026) Evaluate an AI agent on a local LLM for free — build a tiny Pydantic AI agent on Ollama and score it with pydantic-evals, agent and judge both local, no API key.Intermediate9 minAI Agent Guardrails in Python: Input & Output Validation AI agent guardrails in Python: validate input and output, block prompt injection, and enforce schemas with the OpenAI Agents SDK and Pydantic.Intermediate6 minMCP Server TypeScript: Build One in Node.js (2026) Build an MCP server TypeScript developers can deploy — typed tools with Zod, Streamable HTTP in Node.js, and a curl test that proves it works.Intermediate6 minPydantic AI vs LangChain: Which Framework Should You Use? (2026) Pydantic AI vs LangChain in 2026: real code for both, a clear verdict on which to pick, and exactly where each framework stands right now — including the v2 beta.Intermediate9 minVector Database for RAG: When to Ditch the List (Part 4) Corrected 16 OctA vector database for RAG earns its place when persistence, filters, or scale demand it. Move the Part 1 list store to Chroma and add hybrid search.Intermediate4 minRAGFlow: Fix Bad RAG Retrieval on Real PDFs (2026) RAGFlow fixes the RAG failure you can't out-prompt — bad PDF and table parsing. See how its deep document understanding reads tables right, and when to use it.Intermediate7 minSemantic Chunking & Re-Ranking for Better RAG (Part 3) Updated 16 OctSemantic chunking and cross-encoder re-ranking break the retrieval ceiling fixed-size chunks hit, with a hit-rate eval showing which to reach for first.Beginner3 minPython Environment Setup for AI Agents: The 5-Minute Primer (2026) The one setup every AI agent tutorial assumes: install Python, create a virtual environment, install packages, and add your API key with a .env file — in about five minutes.Intermediate8 minAgentic RAG: Why Static Retrieval Isn’t Enough (2026) Corrected 16 OctAgentic RAG wraps retrieval in an agent loop that grades its own results and re-queries when they're weak. Here's how it beats static RAG, and what it costs.Intermediate8 minBuild a RAG System in Python From Scratch (Part 1) Updated 16 OctBuild a RAG system in Python from scratch, no framework. Four functions that chunk, embed, store, and retrieve over your own docs, then answer with an LLM.Intermediate7 minRAG Chunking & Retrieval Quality: Fix Bad Answers (Part 2) Corrected 16 OctFix RAG chunking to stop wrong answers. Use fixed-size windows, overlap, and a 10-line retrieval eval. The model was never the problem; the chunks were.Intermediate9 minHow to Evaluate an AI Agent: Metrics & Frameworks (2026) An AI agent evaluation guide for 2026: the metrics that actually matter, how to score them, and the frameworks — LangSmith, DeepEval, Ragas — to run them.Intermediate9 minWhy Your LangGraph Agent Keeps Looping (and How to Fix It) Your LangGraph agent looping until GraphRecursionError? Here's how to diagnose the four causes and fix the stop condition — not just raise the limit.Beginner4 minPydantic BaseModel: A Primer for AI Agent Developers (2026) A Pydantic BaseModel primer for AI agent developers: define a model, validate data, and turn messy LLM output into a clean, typed Python object.Beginner7 minWhat Is RAG in AI? A Practical Developer’s Guide (2026) Updated 16 OctWhat is RAG? A developer's guide to retrieval-augmented generation: why LLMs need it, the retrieve-augment-generate loop, and a runnable RAG in 25 lines.Beginner3 minPython Decorators: A Primer for Reading AI Agent Code (2026) A Python decorators primer for reading AI agent code: what the @ symbol does, how @tool and @app.get work, and why frameworks hand you decorators to apply.Beginner5 minAI Agent vs Workflow: What’s the Actual Difference? (2026) AI agent vs workflow, settled: one question tells you which you have. It comes down to who decides the next step, your code or the model, with code examples.Beginner5 minAsync and Await in Python: A Primer for AI Agent Code (2026) An async and await in Python primer for reading AI agent code: what async def, await, and asyncio.run mean, and the two mistakes beginners always hit.Beginner4 minDocker for Python: A Primer for Shipping AI Agents (2026) A Docker for Python primer: what images and containers are, how to write a Dockerfile for an app, and why agents ship in containers — explained simply.Beginner6 minEmbeddings and Vector Search: A Primer for AI Agents (2026) Updated 16 OctAn embeddings and vector search primer: how text becomes vectors, how similarity search finds meaning not keywords, and why agent memory and RAG rely on it.Beginner4 minHTTP and Bearer Tokens: A Primer for Python Devs (2026) An HTTP and bearer token primer for Python devs: methods, status codes, JSON bodies, and how an Authorization Bearer header authenticates an API call.Beginner4 minLLM API Keys: Set Up OpenAI, Anthropic & Gemini (2026) An LLM API key primer: where to get OpenAI, Anthropic, and Gemini keys, how to load one safely with python-dotenv, and how to avoid a leaked-key bill.Beginner4 minOAuth 2.1 in Plain English: A Primer for Developers (2026) An OAuth 2.1 primer in plain English: access tokens, scopes, the client–server–authorization flow, and how it protects an API or MCP server from anyone.Beginner4 minPytest and CI: A Primer for Testing AI Agents (2026) A pytest and CI primer: write a first test, run it, and wire it into GitHub Actions so every pull request is checked automatically — explained for beginners.Beginner4 minPython Type Hints: A Primer for Reading AI Agent Code (2026) A Python type hints primer for reading AI agent code: function hints, Optional, Union, TypedDict for message lists, and how frameworks use them.Beginner3 minPython Virtual Environments: venv, pip & uv Primer (2026) A Python virtual environment primer: why venv exists, how to create and activate one, install packages with pip or uv, and avoid the classic setup traps.Beginner8 minWhich AI Agent Framework Should You Use in 2026? A developer's decision guide to the best AI agent frameworks in 2026 — three questions to confidently pick LangGraph, CrewAI, the OpenAI or Claude SDK.Intermediate2 minAgentic AI in Python: Zero to Production — The Full Series Updated 16 OctThe complete Agentic AI in Python series — seven parts that take you from a local LangGraph agent to a deployed, memory-keeping, tool-using, observable app. Start here.Beginner5 minFrom Scratch to LangGraph: When to Stop Hand-Building Agents From scratch to LangGraph: the four walls that tell you when to use LangGraph instead of a hand-built Python agent loop — and when plain Python is still the right call.Intermediate6 minAI Agent Evals in CI: Block Bad PRs with GitHub Actions Run AI agent evals in CI: turn your pydantic-evals suite into a test, gate it with GitHub Actions, and block any pull request that drops the agent's score.Intermediate7 minGoogle ADK Tutorial: Build Your First AI Agent in Python (2026) A Google ADK tutorial that fills the setup gap most tutorials skip: go from an empty folder to a running AI agent in Python, with a validation loop and an MCP connection.Intermediate7 minLangGraph Tutorial: Build Your First AI Agent in Python (2026) A LangGraph tutorial for 2026: build your first AI agent in Python with create_agent, then rebuild it as a raw StateGraph so you actually see what's underneath.Beginner7 minAI Agent Loop in Python: Build a ReAct Agent From Scratch Build an AI agent loop in Python from scratch: a framework-free ReAct agent that thinks, calls a tool, observes the result, and repeats until the job is done.Beginner7 minAI Agent Memory in Python: Short-Term Memory From Scratch Add AI agent memory in Python from scratch: keep the conversation in a messages list, then trim and summarize older turns to fit the model's context window.Intermediate7 minCrewAI Tutorial: Build a Multi-Agent Team in Python (2026) CrewAI tutorial: build a 3-agent team in Python — researcher, writer, and editor — with runnable 2026 code, and exactly when a crew is overkill.Beginner6 minn8n AI Agent Tutorial: Build One Without Code (2026) Build an n8n AI agent without code: wire four nodes into a working agent, see each node mapped to the loop underneath, and learn when to switch to Python.Beginner6 minPython for AI Agents: The Basics to Read the Code (Part 0) The Python for AI agents you actually need to read the code: dicts, functions, type hints, loops, async, and setup — explained simply for beginners.Beginner6 minCall an LLM in Python: The First Building Block of an Agent Call an LLM in Python with real OpenAI and Anthropic code: system vs user prompts, temperature, JSON output, and why one call isn't yet an agent.Beginner7 minTool Calling in Python: Make an LLM Use Your Functions Tool calling in Python from scratch: define a tool, parse the model's request, run your function, and return the result — with real, current OpenAI code.6 min7 Best MCP Servers to Connect to Claude in 2026 The 7 best MCP servers to connect to Claude in 2026 — what each one does, when to actually use it, and the one permission to check before you connect.Intermediate7 minAI Agent Observability & Evals in Python (Part 6) Add AI agent observability and evals in Python — trace every agent run with Pydantic Logfire and score it against a test set using pydantic-evals.5 minMCP vs A2A: Do Your AI Agents Need Both? (2026) MCP vs A2A in 2026, in plain English: MCP connects an agent to tools, A2A connects agents to each other. Here's when you need both — and when you don't.5 minMCP vs REST API: Do You Even Need MCP? (2026) MCP vs REST API in plain English: a REST call connects your code to a tool, MCP connects any AI agent to it. Here's when you actually need MCP.5 minAre MCP Servers Safe? Security Risks & How to Lock Them Down Updated 16 OctAre MCP servers safe? Here's what one can really access, the real risks — tool poisoning, no-auth endpoints — and a five-minute hardening checklist.Intermediate7 minBuild an Agentic AI App in Python: MCP Client (Part 5) Build an MCP client in Python so your agent calls real tools — connect a LangGraph agent to an authenticated FastMCP server with langchain-mcp-adapters.Intermediate7 minGitHub MCP Server: Connect Claude to Your Repos (2026) Connect the GitHub MCP Server to Claude in 15 minutes — the exact Docker config, a least-privilege token, the 6 things it does well, and the scope you must not skip.Beginner6 minClaude MCP Setup: Connect a Server to Claude Desktop (2026) Edited your Claude MCP config but nothing shows up in Claude Desktop? Get the exact claude_desktop_config.json for macOS and Windows, plus every fix.Intermediate5 minLangGraph vs CrewAI vs AutoGen: Which to Use in 2026? LangGraph vs CrewAI vs AutoGen compared for 2026: dev speed, production reliability, observability, and how to pick the right Python AI agent framework.Intermediate7 minPydantic AI Tutorial: Type-Safe AI Agents in Python (2026) Pydantic AI tutorial: build type-safe AI agents in Python with structured outputs, tools, dependency injection and native MCP, plus runnable 2026 code.Beginner5 minWhat Is an MCP Server? Complete Guide for Developers (2026) What is an MCP server? A plain-English 2026 guide to the Model Context Protocol: how MCP servers work, MCP vs APIs, and whether to adopt one.Intermediate7 minBuild an Agentic AI App in Python: AI Agent Memory (Part 4) Add real AI agent memory in Python — a LangGraph Store that recalls users across threads, semantic search with embeddings, and Redis for production.Intermediate8 minBuild an Agentic AI App in Python: Multi-Agent Systems (Part 3) Build multi-agent systems in Python with LangGraph: a supervisor routing search, summarise & fact-check workers, plus loop guards that save real money.Intermediate7 minBuild an MCP Server in Python: Production-Ready in 2026 Updated 16 OctBuild a production-ready MCP server in Python with FastMCP — typed tools, OAuth 2.1 auth and streamable-HTTP deployment that most 2026 tutorials skip.Intermediate8 minDeploy AI Agent to Cloud Run or Fly.io (Python 2026) Deploy AI agent code to Cloud Run or Fly.io in one command: push once, get a live HTTPS URL, and keep your Postgres-backed agent memory intact — no VPS.Intermediate9 minBuild an Agentic AI App in Python: FastAPI, Docker & Deploy to Production (Part 2) Wrap your LangGraph agent in FastAPI, Dockerize it, and deploy to a cloud VPS. Part 2 of the Agentic AI Python series — zero to production.Intermediate9 minBuild an Agentic AI App in Python: Zero to Production (Part 1) Learn how to build a working agentic AI app in Python with LangGraph. Part 1 covers tools, StateGraph, and memory — step by step from scratch.Beginner6 minWhat Are AI Agents? Complete Guide for Developers (2026) Learn what AI agents are, how they work, and when to use them. A practical developer's guide covering LLMs, tool use, memory, and real-world examples in 2026.Beginner5 minNavigating the AI Learning Revolution in 2026: From Hype to Hands-On How to learn AI in 2026: a practical, hands-on path from hype to real skills — no-code tools, microlearning, building projects, and working with AI.

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