Recent posts tagged langgraph

Three parts in, JobCopilot had layers that worked but couldn't talk to each other. Part 1 gave me a structured-output layer — ParseOk/ParseError as data. Part 2 gave me retrieval — buildcontext pulling the top-8 resume chunks for a job description. ...

LangGraph4j 1.9.0 is out! LangGraph4j 1.9.0 is out! With the 1.8.x release stream now in LTS, development moves forward on 1.9 with improvements to streaming, persistence, and the infrastructure for building agents in Java. This release is an impo...

Managed agent frameworks address a specific infrastructure challenge: streams that don't timeout, memory that persists across sessions, and auth that prevents data leakage. Building one that handles all three in production is where most teams stall. ...

In my previous articlehttps://coderlegion.com/23449/i-built-a-local-rag-assistant-with-ollama-chromadb-and-langchain, I built a fully local RAG assistant Ollama, ChromaDB, LangChain, all running in Docker. It answered technical support questions by s...

When I moved Wingman onto Lambda, I assumed the thing I'd have to watch was compute duration. That's the serverless mental model everyone starts with: you pay per millisecond, so keep the function fast and cheap. That model was wrong for an agent. T...

Most agent demos stop at "the model called a tool and gave an answer." That answer is often wrong, and nothing in the loop notices. I wanted an agent that checks its own work against a success criteria before returning, and retries when it falls shor...

Introduction Most explanations of agent memory start at the wrong altitude. They jump straight to "use a vector database" without explaining what problem that solves, or why a vector database is sometimes the wrong tool entirely. This post walks t...

Combine Tools & Skill to create Agent Modern agentic systems usually expose two strong but separate abstractions: Tools, which give an LLM executable capabilities Skills, which package reusable instructions for a narrow task This article shows ...

> Building LLM apps isn’t just about prompts anymore. > It’s about composition, orchestration, and observability. TL;DR LangChain provides the foundational building blocks for creating LLM applications through modular components and a unified int...

We all use chatbots like ChatGPT, Perplexity, and Claude. But wouldn’t it be cool if a chatbot could directly talk to your database? And keep your data secure at the same time? Let’s build one! Here’s how we can build it, step by step: Technologies...