#langchain articles

Tidiane Stano1d ago · 13 min read

The First Mile of Context Engineering: Three Critical Pitfalls and Six Solution Patterns for Agent Retrieval with LangChain

Abstract Retrieval is the foundational gatekeeper of context engineering for LLM agents. Many developers treat retrieval as a simple RAG subroutine, but production-grade agent harnesses must treat it

4sapi.hashnode.dev

AgentSearch3d ago · 12 min read

How to Add Web Search to a LangChain.js Agent (No API Key)

A LangChain.js agent only knows what its model learned in training until you give it a web search tool. The @agentsearchhq/langchain package lets you add web search to a LangChain.js agent in a few li

agentsearchhq.hashnode.dev

MemorySync3d ago · 7 min read

LangGraph memory explained: checkpointer vs store, and per-user memory across threads

Disclosure: I'm Mohammed, founder of MemorySync. I drafted this article with AI assistance and reviewed it for accuracy against the official MemorySync and LangGraph docs. If your LangGraph agent forg

memorysync.hashnode.dev

MemorySync3d ago · 6 min read

Persistent memory for a LangChain chatbot after LangChain 1.0

Disclosure: I'm Mohammed, founder of MemorySync. I drafted this article with AI assistance and checked it against the official MemorySync and LangChain docs. If you learned LangChain memory through Co

memorysync.hashnode.dev

VulnifyOct 16 · 9 min read

How to stop your AI agent from exporting customer data

Originally published on DEV: https://dev.to/vulnify/how-to-stop-your-ai-agent-from-exporting-customer-data-1dld I'm Giovanni, founder of Vulnify, the tool used in the examples below. I checked every c

vulnify.hashnode.dev

Retailbox AutomationOct 16 · 8 min read

Provenance gate: no AI agent memory write without a source

By Mikhail Oskola, founder of Retailbox Automation. A provenance gate is a rule that sits in front of an AI agent's memory: an agent can propose a fact, but it can't become memory until it names where

retailboxautomation.hashnode.dev

Abin Jacob JohnOct 11 · 9 min read

Agent Loop vs. Graph: What I Actually Learnt by Rebuilding My SRE Copilot in LangGraph

I've been building a small AI on-call copilot as a learning project — something that takes an incident question, digs through postmortems and tool docs, and proposes a root cause and fix. Week 3 was a

2 abinjj9.hashnode.dev

AaditOct 12 · 2 min read

YouTube Transcripts for RAG: Load Videos into LangChain and Vector Search

Video is full of knowledge that never reaches your RAG pipeline because it isn't text. Transcripts fix that, and timestamped segments let every answer link to the exact moment it came from. This guide

transcriptyt.hashnode.dev

Dhairya PathakOct 3 · 4 min read

Productionizing RAG: Building a Scalable AI Teaching Assistant

Large Language Models are incredible at reasoning, but they hallucinate terribly when asked about specific, niche academic coursework they were not explicitly trained on. In an educational setting, an

1 dhairyapathak.hashnode.dev

Avenotech TeamOct 2 · 26 min read

AI Agent Frameworks Compared: LangGraph vs CrewAI vs AutoGen

Why is the most-starred framework in this comparison the one you shouldn't start a new project on in 2026? AutoGen holds roughly 60,400 GitHub stars, more than CrewAI's 57,100 and LangGraph's 39,800.

avenotech.hashnode.dev

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