One FastAPI tool I’ve found genuinely useful lately is FastCRUD. More specifically, it is a practical way to reduce the repetitive work around FastCRUD for FastAPI projects that use SQLAlchemy. When you are building a conventional API with FastAPI and SQLAlchemy, the repeated work adds up quickly. Every new resource can mean creating a record, […]
LangGraph evaluation turns a convincing multi-agent demo into a workflow you can improve with evidence. A system may return a plausible answer while choosing the wrong specialist, calling unnecessary tools, or becoming too slow and expensive for real users. This tutorial shows how to measure those failures before they reach production. In the previous lessons, […]
LangGraph persistence is what makes a multi-agent workflow safe to pause, inspect, and continue later. Without it, a process restart, a human review step, or a temporary failure can mean starting the whole graph again—and possibly repeating work that already happened. In the previous tutorial on routing and parallel execution, a router selected specialist agents […]
LangGraph routing is the point where a multi-agent graph stops broadcasting work and starts making deliberate choices. It decides which specialist should handle a request, which tasks can run at the same time, and when their findings are ready to combine. In the previous tutorial on LangGraph shared state, we defined safe information flow. Here, […]
LangGraph shared state is where a multi-agent workflow becomes predictable. A supervisor can choose the right specialist and still produce a weak answer if every worker receives the same noisy conversation history. The next step is deciding what each agent can read, what it may return, and what must remain private. This tutorial continues the […]
Python 3.15 is close enough to matter now. The second release candidate arrived on 1 September 2026, and the core team plans the final release for 1 October. That leaves developers a useful window: understand the changes, test the ones that touch your code, and upgrade with fewer surprises. This release does not depend on […]
LangGraph Supervisor Tutorial · Multi-Agent SystemsPart 2 of 6 · View the series guide ← Part 1: Build a conversational agent with LangGraph A LangGraph supervisor tutorial should begin with a simple idea: a useful multi-agent system is not a group of bots talking at random. It is a workflow with a clear decision-maker. One […]
This LangGraph multi-agent systems tutorial series takes you from a single conversational agent to a reliable workflow of a supervisor and specialist agents. Each tutorial adds one practical capability: delegation, shared context, routing, recovery, or evaluation. Who this series is for This series is for Python developers who understand the basics of language models and […]
If by “turbo vec” you mean the project source, it is a project aimed at a familiar AI-infrastructure problem: storing and searching embedding vectors without treating memory, storage, and retrieval quality as afterthoughts. Its repository describes TurboVec as a vector index built on TurboQuant, written in Rust, with Python bindings. That description is useful, but […]
Python is a readable, general-purpose programming language used for automation, web development, data analysis, and artificial intelligence. This Python beginner guide explains why the language is so approachable, how to install it, and how to run your first program with confidence. Why learn Python? Python is designed to be easy to read. Its clear syntax […]
Python is a popular programming language that is known for its simplicity, readability, and versatility. In this post, we’ll cover the fundamental concepts of Python programming that will help you get started with building your own programs. Data types and Variables In Python, there are several data types that you can work with, including integers, […]
Web-scraping is an vital strategy, as often as possible utilised in a part of distinctive settings, particularly information science and information mining. Python is to a great extent considered the go-to dialect for web-scraping, the reason being the batteries-included nature of Python. With Python, you’ll be able make a basic scratching script in approximately 15 minutes and in beneath 100 lines of code. So regardless of utilisation, web-scraping could be a expertise that every Python software engineer must have beneath his belt. Before we begin getting hands-on, we ought to step back and consider what […]
Creating sophisticated conversational agents requires more than just a powerful language model. You need a framework that can manage complex conversational flows, maintain context, and handle decision-making with elegance. Enter LangGraph, a powerful toolkit built on top of LangChain that enables developers to create state-aware, multi-step reasoning systems with remarkable ease. Why LangGraph Matters? Traditional […]
Imagine building powerful multi-agent systems with LangGraph Swarm, where agents collaborate autonomously for seamless AI workflows. That’s LangGraph Swarm: a lightweight, decentralized multi-agent system where agents dynamically hand off tasks and the system retains memory of the last active agent for seamless conversation flow Unlike rigid supervisor architectures where a central agent dictates the flow, […]