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LangChain — AI News Today

PlatformOpen Source

LangChain is an open-source framework for building applications and agents on top of large language models, with tooling for chains, retrieval and orchestration.

www.langchain.com

288 stories about LangChain

2 from your feeds18 from search

About LangChain

LangChain is an AI platform. LangChain is an open-source framework for building applications and agents on top of large language models, with tooling for chains, retrieval and orchestration. This page tracks 288 recent news stories about LangChain, curated from 30+ sources and updated every 15 minutes.

LangChain — Coverage Momentum

38
This month
↓28%
vs last month
636
All-time
Apr 2026
Peak month
154
77
104
111
53
38
AprMayJunJulAugSep

First tracked Jan 2024. Most-citing sources: Medium (400), Towards AI (130), Marktechpost (9), Artificial Intelligence in Plain English (9). Data aggregated by Best AI News Today from 30+ sources.

288 stories
1 of 5 Top Stories
From Chatbot to Learning System: A Scientific Blueprint for a LangGraph Adaptive Teaching Agent
Media

From Chatbot to Learning System: A Scientific Blueprint for a LangGraph Adaptive Teaching Agent

by Alireza Minagar — By: Alireza Minagar, MD, MBA, MS (Software Engineering), MS (Bioinformatics)

Medium faviconMedium·
Workflows vs. Agents: Who Should Choose the Next Step?
Media

Workflows vs. Agents: Who Should Choose the Next Step?

by Agent Mode with Usman — Building a research agent with LangGraph, web search, and evidence you can inspect.

GoPenAI faviconGoPenAI·
Media

Understanding MarkdownHeaderTextSplitter in LangChain

Splitting Markdown Content and Preserving Header Metadata with Simple Practical Experiments. Continue reading on Medium »

Medium · Nachiket Mehendale faviconMedium · Nachiket Mehendale·
Introduction to Langchain Deep Agents
Media

Introduction to Langchain Deep Agents

by Arunabh Bora — A tutorial on how to set up and run a Deep AgentPhoto by Markus Spiske on UnsplashTLDRLangchain introduced Managed Deep Agents a few days ago. In this article, I will go through the basics of Deep...

Towards AI faviconTowards AI·
Media

Architecture Analysis Report: LangChain Prebuilt Utilities vs. Graph-Structured Reasoning Agents

1. Introduction to Agentic Interfacing in Modern Data Systems Continue reading on Medium »

Medium · fidatothearchitect faviconMedium · fidatothearchitect·
Mastering LangChain: Open-Source Models & Prompt Engineering (Part 2)
Media

Mastering LangChain: Open-Source Models & Prompt Engineering (Part 2)

by Tejas Nidhankar — In Part 1, we established the high-level roadmap of LangChain — exploring the architectural shift toward chat models and breaking down the foundational RAG pipeline.Now, we dive directly into code...

Towards AI faviconTowards AI·
How LangGraph Actually Implements Checkpointing: Thread IDs, Checkpointers, and Where State Lives
Media

How LangGraph Actually Implements Checkpointing: Thread IDs, Checkpointers, and Where State Lives

by Building the Future with Agentic AI & ML — Part 2: The Implementation

Medium faviconMedium·
I Built My First PDF Chatbot with LangChain and RAG — Here’s What I Learned
Media

I Built My First PDF Chatbot with LangChain and RAG — Here’s What I Learned

by Shalinics — I recently started learning about Generative AI, LangChain, embeddings, vector databases, and RAG. At first, all of these terms felt…

Medium faviconMedium·
35 LangChain Interview Questions: Fundamentals and Code
Media

35 LangChain Interview Questions: Fundamentals and Code

Part 13 of 14: Models, messages, prompts, schemas, tools, runnables and retrieval Continue reading on Medium »

Medium · Kumar faviconMedium · Kumar·
Beyond Prompt Engineering: Designing Multiagent Conversational Architecture.
Media

Beyond Prompt Engineering: Designing Multiagent Conversational Architecture.

by Adediwura Boluro-Ajayi — Microsoft, Anthropic, and LangGraph all describe the same five ways to coordinate AI agents under different names. Here’s a guide on each…

Level Up Coding faviconLevel Up Coding·
Media

LLM Agents, The Way Nobody Told You — Part 10: LangChain and the SDK Landscape

This is Part 10 of the series “LLM Agents, The Way Nobody Told You.” ◀ Part 9: MCP Continue reading on Medium »

Medium · Simran Kaur Kahlon faviconMedium · Simran Kaur Kahlon·
AI Memory Is Not the Decision: The Missing Layer Between State and Action
Media

AI Memory Is Not the Decision: The Missing Layer Between State and Action

by M.R — LangGraph can retain state. Guardrails can validate outputs. Policy engines can enforce rules. But when several actions remain permitted…

Medium faviconMedium·
RelatedAI Safety
Engineering Agentic AI Systems: Multi-Agent Orchestration with LangGraph (Part 2/3)
Media

Engineering Agentic AI Systems: Multi-Agent Orchestration with LangGraph (Part 2/3)

by Jawherennaceur — By Jawher Ennaceur :Linkedin

Medium faviconMedium·
LangChain to LangGraph: What’s Driving the Migration
Media

LangChain to LangGraph: What’s Driving the Migration

by Muhammad Faizan Nadeem — Search interest tells a consistent story right now: LangChain is sliding while LangGraph, CrewAI, and Pydantic AI climb. That’s not a…

Medium faviconMedium·
Media

LangChain Connections Secures Managed Deep Agents in 3 Ways

Secure Managed Deep Agents Connections using agent-owned secrets and user-owned OAuth. Configure tools like Tavily for seamless API access today.

Geeky Gadgets faviconGeeky Gadgets·
LangChain — The Complete End-to-End Master Guide
Media

LangChain — The Complete End-to-End Master Guide

by Laxman — From Your First LLM Call to Production RAG, Agents, Tools, Memory, MCP, Middleware, Evaluation & Deployment

Medium faviconMedium·
Agentic LangGraph — From First Principles to a Working Multi-Agent System
Media

Agentic LangGraph — From First Principles to a Working Multi-Agent System

by Faizulkhan — A learning repository that goes all the way from “what is a node?” to a two-agent research → report pipeline, fully traced in LangSmith and debuggable in LangGraph Studio.Every code snippet here is...

Towards AI faviconTowards AI·
Media

How to Use RecursiveCharacterTextSplitter in LangChain

A code walkthrough of separators, chunk_size and custom regex splitting Continue reading on Stackademic »

Medium · Nachiket Mehendale faviconMedium · Nachiket Mehendale·

Frequently Asked Questions

What is LangChain?

LangChain is LangChain is an open-source framework for building applications and agents on top of large language models, with tooling for chains, retrieval and orchestration.

Where can I access LangChain?

LangChain is available at https://www.langchain.com.

What is the latest news about LangChain?

As of today, there are 288 recent stories about LangChain. Recent headlines include: From Chatbot to Learning System: A Scientific Blueprint for a LangGraph Adaptive Teaching Agent; How LangGraph Actually Implements Checkpointing: Thread IDs, Checkpointers, and Where State Lives; Engineering Agentic AI Systems: Multi-Agent Orchestration with LangGraph (Part 2/3). This page is updated every 15 minutes.

Is LangChain open source?

Yes — LangChain is open source. The source code is publicly available, allowing developers to inspect, modify, and self-host.