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Building a RAG Chatbot: Every Design Decision Explained

1d ago · 6 min read · Introduction RAG (Retrieval-Augmented Generation) is one of those patterns that looks simple on a diagram and gets complicated fast in practice. The chunking strategy, embedding model choice, vector s

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PGParshva Gangparshva-gang09.hashnode.dev

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LangChain vs LangGraph

1d ago · 11 min read · If you've spent any time building with large language models, you've probably bumped into LangChain. LangChain is a software framework that helps facilitate the integration of LLMs into applications.

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Ddebbieshapirolabyrinthanalyticsconsulting.hashnode.dev

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What Is Agentic Workflow Consulting? A Practical Guide for Data Leaders

1d ago · 10 min read · The Term Everyone Uses and Nobody Defines Your CTO came back from a conference and said the team needs to "go agentic." A vendor pitched you an "agentic data platform" last week. LinkedIn is full of p

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BGBinu Georgeai-security-gateway.hashnode.dev

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Your AI Agent Just Burned $108 in an Hour. Here's the 50-Line Fix.

2d ago · 8 min read · Autonomous AI agents have a failure mode that every team discovers the hard way: infinite retry loops. The agent sends a request. The model returns something the agent can't parse. The agent retries w

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RMRobert McBrydeai-notebook.uk

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Welcome to AI Notebook: Documenting my journey AI

3d ago · 2 min read · I'm a developer learning to build AI-powered applications, and this blog is where I document that journey. Every post covers something I've built and experimented with for my learning - sharing my lea

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OOmnithiumomnithium.hashnode.dev

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Migrating from LangChain to a Production AI Agent Platform

4d ago · 9 min read · You built your first AI agent with LangChain. It worked surprisingly well for a proof-of-concept. Your team shipped a prototype that impressed stakeholders, and now you're facing the real challenge: g

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AVAnant Vaidtechtalkswithanant.hashnode.dev

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LangChain, LangGraph, LangSmith, and LangFlow - Actually Explained

May 28 · 11 min read · When I first started exploring AI development, I kept running into these four names everywhere. Blog posts, YouTube tutorials, GitHub repos; LangChain this, LangGraph that. And honestly? For a while,

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DBDnyandeo Bharambemcpoverrag.hashnode.dev

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Why I chose MCP over RAG for live infrastructure auditing

May 26 · 6 min read · I've been working on a project to audit distributed hardware infrastructure — devices spread across multiple sites, each running firmware that needs to stay compliant with a central policy. Pretty sta

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AArnavmrxbuilds.hashnode.dev

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Give Your LLM an Open Book,

May 23 · 15 min read · Introduction Ever asked ChatGPT something about your own notes, your company's internal docs— and got a CONFIDENTLY wrong answer? Yeah, same! The problem is not the LLM is dumb. They are actually very

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LDLuhui Devluhui.hashnode.dev

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Lessons from LangChain: Designing a Reliable Runtime for Production-Grade Agents

May 20 · 17 min read · 🙋‍ I’m Luhui Dev, a developer who has been breaking down Agent engineering and exploring how AI can be applied in education. I focus on Agent Harness, LLM application engineering, AI for Math, and th

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#langchain

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#langchain

Trending tags this week

Building a RAG Chatbot: Every Design Decision Explained

LangChain vs LangGraph

What Is Agentic Workflow Consulting? A Practical Guide for Data Leaders

Your AI Agent Just Burned $108 in an Hour. Here's the 50-Line Fix.

Welcome to AI Notebook: Documenting my journey AI

Migrating from LangChain to a Production AI Agent Platform

LangChain, LangGraph, LangSmith, and LangFlow - Actually Explained

Why I chose MCP over RAG for live infrastructure auditing

Give Your LLM an Open Book,

Lessons from LangChain: Designing a Reliable Runtime for Production-Grade Agents