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langchain

#langchain·145 followers·558 articles

langchain

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jyanshu.hashnode.dev·Aug 29, 2025

Aug 29, 2025

Understanding LangGraph

Introduction LangGraph is an open-source framework for building stateful, multi-step, agentic workflows on top of LLMs. It is part of the LangChain ecosystem and is designed to help developers orchestrate complex reasoning, tool use, and memory in LL...

Understanding LangGraph

Discuss·2 reads

Aman Kumar

amank736836-genai.hashnode.dev·Aug 27, 2025

Aug 27, 2025

Exploring LangGraph

After diving into RAGs and advanced pipelines, today we step into something even more powerful: LangGraph. If LangChain gave us building blocks for LLM apps, LangGraph gives us a framework to structure, persist, and orchestrate workflows as graphs. L...

Discuss·3 reads

GenAI With JS Cohort

Utkarsh

blogs.utkarshrajput.com·Aug 25, 2025

Aug 25, 2025

LangChain | Part 1/3 of Generative AI for JS Developers

Introduction LangChain is one of the frameworks that stands at the forefront in building applications that use large language models (LLMs). Initially, it was gaining traction in Python ecosystem, but now it has equally good support in JavaScript and...

LangChain | Part 1/3 of Generative AI for JS Developers

Discuss·1 like·5 reads

fakhir hassan

fakhirhassan.hashnode.dev·Aug 23, 2025

Aug 23, 2025

Building a Real-Time PDF QA System with RAG, LangChain, Pinecone, and AWS

In today’s information-heavy world, professionals like lawyers, researchers, and analysts often deal with hundreds of pages of PDFs. Finding precise answers manually is time-consuming, and asking a standard LLM to summarize or answer can result in ge...

Building a Real-Time PDF QA System with RAG, LangChain, Pinecone, and AWS

Discuss·1 read

Tathagata Mandal

Tathagata Mandal

mandaltathagata.hashnode.dev·Aug 22, 2025

Aug 22, 2025

Advance RAG With Node JS & MongoDB | HYDE

Introduction Retrieval-Augmented Generation (RAG) has rapidly become one of the most effective methods for developing powerful AI applications. At its core, RAG connects large language models (LLMs) with an external knowledge base so that the model c...

Advance RAG With Node JS & MongoDB | HYDE

Discuss·2 likes·33 reads

Utkarsh Kumawat

Utkarsh Kumawat

utkarsh-km.hashnode.dev·Aug 22, 2025

Aug 22, 2025

Getting Started with RAG: An Easy Guide for Beginners

Large Language Models (LLMs) like ChatGPT and Gemini are powerful. They can generate essays, code, and even answer complex questions. But here’s the catch — they only know what they were trained on. Ask them about yesterday’s news, your company polic...

Getting Started with RAG: An Easy Guide for Beginners

Discuss·15 reads

Neur

rohanjyotimishra.hashnode.dev·Aug 21, 2025

Aug 21, 2025

Building an AI Agent for Mobile Automation with LangGraph + LLMs

Writing Appium scripts is fun — until it isn’t.Hard-coded XPaths break, swipes go rogue, and suddenly your “automation” is the thing that needs babysitting. So instead of wrestling with brittle test scripts, I built something different:👉 A sequentia...

Building an AI Agent for Mobile Automation with LangGraph + LLMs

Discuss·4 likes·12 reads

Aman Kumar

amank736836-genai.hashnode.dev·Aug 21, 2025

Aug 21, 2025

🚀 Advanced RAG Patterns and Pipelines

In the previous article, we explored the basics of Retrieval Augmented Generation (RAG)—how it combines a retriever and generator to give better answers. That was the foundation. But in real-world production systems, basic RAG isn’t always enough. As...

🚀 Advanced RAG Patterns and Pipelines

Discuss·2 reads

GenAI With JS Cohort

Kervin Vasquez

kervin.blog·Aug 21, 2025

Aug 21, 2025

Cómo integrar LangChain con GPT para tareas personalizadas

1. ¿Por qué LangChain? La librería LangChain surgió para facilitar la orquestación de modelos de lenguaje (LLM) como GPT. En lugar de pelearte con peticiones HTTP y formatos de prompts, LangChain te da piezas LEGO que puedes ensamblar para: Encapsul...

Discuss·2 reads

Kervin Vasquez

kervin.blog·Aug 21, 2025

Aug 21, 2025

Crear tu primer Chatbot con LangChain y OpenAI

¿Por qué LangChain? LangChain es una librería de orquestación que simplifica la creación de aplicaciones que usan modelos de lenguaje (LLMs). En lugar de lidiar con peticiones HTTP directas a la API de OpenAI, te ofrece: Componentes reutilizables: p...