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SGSalome Githinjigithinjisal-dev.hashnode.dev2d ago · 8 min read

Building a Reflection Agent with LangGraph: Teach Your AI to Critique Its Own Work

Most of us write a first draft, read it back, pull back a little, and fix it. That "wince and fix" loop is exactly what a Reflection Agent does — except the one doing the wincing is an LLM. In this ar

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PKPiyush Kumar Soniai-powered-seo-audit.hashnode.dev5d ago · 9 min read

Building an AI-Powered SEO Audit Workflow with Python and LLMs

Technical SEO audits can be extremely valuable, but they are also repetitive. A typical audit involves crawling a website, checking metadata, finding broken links, reviewing headings, spotting indexat

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NANikhil Adithyanfreecodecamp.orgAug 14 · 47 min read

How to Build a Multi-Agent Trading Research System with LangChain Deep Agents [Full Handbook]

A trading research agent can write strategy code, run a backtest, inspect the results, and keep revising the strategy. The harder problem is making sure that this loop doesn't turn into an uncontrolle

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DODUSHYANTH O Ahowragworksunderthehoodbanner.hashnode.devAug 8 · 7 min read

Demystifying Retrieval-Augmented Generation: An Engineering Deep-Dive into Document Processing, Vector Search, and Context Construction

1. Introduction & The Hallucination Problem Imagine deploying a state-of-the-art Large Language Model (LLM) to assist engineers with your company’s 500-page internal infrastructure specification or a

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AAkashakashbuilds.hashnode.devAug 5 · 8 min read

Building an AI Coding Assistant: From Concept to Code Generation

Building an AI Coding Assistant: From Concept to Code Generation If you've ever wished you could tell an AI to build an app and have it actually write the entire project file by file, this blog post i

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AAAditya Agrawaladityagrawal45.hashnode.devAug 5 · 13 min read

Myth: RAG Makes LLMs Accurate. Fact: It Depends.

The hook Three weeks after we shipped our RAG-based supplier support chatbot, a supplier asked it a straightforward question about payment terms. The bot answered confidently. The answer was wrong. No

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SMShams Mukhtarshamsmukhtar.hashnode.devAug 4 · 13 min read

The LLM Is the Engine—LangChain, LangGraph, and LangSmith Are the Engineering Layer

Central thesis: LangChain, LangGraph, and LangSmith do not replace the large language model. They form an engineering layer around it. LangChain assembles the model, prompts, tools, retrieval, and con

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Ddebbieshapirolabyrinthanalyticsconsulting.hashnode.devAug 4 · 6 min read

Why durable knowledge needed its own store

When a prompt ends, the model forgets. That is why LoreConvo was built -- to keep the thread alive while you iterate on a design, debug a pipeline, or explore a new model. LoreConvo's session memory s

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AKAyush kumarayush6318.hashnode.devAug 3 · 10 min read

Turning Any YouTube Video Into a Personal Study Companion: Building the YouTube Study & Research Studio

Introduction YouTube has quietly become one of the biggest learning platforms in the world. Lectures, conference talks, tutorials, interviews — there's a video for almost everything. But it comes with

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AHAntónio Hernándezagentbuildlog.hashnode.devJul 31 · 10 min read

Between Drawing the Graph and Hiding It: What LangChain's Middle Tier Costs

TL;DR: Porting Conductor to create_agent() deleted graph.py entirely (-328 lines) and replaced three hand-rolled loop controls with OOTB middleware. What didn't go away: the SetupStateMachine gate, no

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Trending tags this week

Building a Reflection Agent with LangGraph: Teach Your AI to Critique Its Own Work

Building an AI-Powered SEO Audit Workflow with Python and LLMs

How to Build a Multi-Agent Trading Research System with LangChain Deep Agents [Full Handbook]

Demystifying Retrieval-Augmented Generation: An Engineering Deep-Dive into Document Processing, Vector Search, and Context Construction

Building an AI Coding Assistant: From Concept to Code Generation

Myth: RAG Makes LLMs Accurate. Fact: It Depends.

The LLM Is the Engine—LangChain, LangGraph, and LangSmith Are the Engineering Layer

Why durable knowledge needed its own store

Turning Any YouTube Video Into a Personal Study Companion: Building the YouTube Study & Research Studio

Between Drawing the Graph and Hiding It: What LangChain's Middle Tier Costs