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What Does LangChain do?

 Towards AI

The TL;DR LangChain is an open-source software development framework centered around composability , designed to make it easier to create applications that leverage large language models (LLMs). LangC...

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Getting Started with LangChain for Beginners

 Level Up Coding

Explore the power of LangChain with a few simple examples. Image by Author Whether you’re a tech enthusiast or a developer, you’re probably used AI tools like ChatGPT. It’s no secret that these tools...

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Mastering LangChain: A Beginner’s Guide

 Level Up Coding

Since the release of ChatGPT, large language models (LLMs) are becoming more and more popular. New LLM-powered tools come on the market almost every day. You can also build some cool stuff with LLMs, ...

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Learning the Ropes for Your Next LangChain Project

 Towards Data Science

Large language models entered the mainstream last year as tools for fun—and occasionally downright silly—experimentation. Who among us hasn’t challenged ChatGPT to invent a new knock-knock joke or com...

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Introduction to LangChain: LangChain Basics

 The AiEdge Newsletter

Today we start something new! We start a series of videos on Langchain. I wanted to create more actionable content with more continuity in the long term to make sure people can learn and utilize that ...

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Understanding LangChain ️: PART 1

 Towards AI

Theoretical understanding of chains, prompts, and other important modules in Langchain Image by author In day-to-day life, we mostly work on building end-to-end applications. There are many auto ML p...

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Understanding LangChain ️: Part:2

 Towards AI

Implementing LangChain practically for building custom data bots involves incorporating memory, prompt templates, and Chains, and creating web-based applications Image by author WE CAN CONNECT ON :| ...

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Getting Started with Langchain

 Python in Plain English

Implementing Text Generation with Chains, Agents and Templates Photo by Girl with red hat on Unsplash Introduction Large language models (LLMs) are models that can generate, recognize, and summarize ...

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The Anatomy of a Full Large Language Model Langchain Application

 Towards AI

A deep dive — data extraction, initializing the model, splitting the data, embeddings, vector databases, modeling, and inference Continue reading on Towards AI

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Introduction to LangChain Course Available for Free!

 The AiEdge Newsletter

This is MY course on LangChain! For the next 5 days, the 1000 first students redeeming this following coupon will get access to the course for free. In exchange, I am just asking for a good rating if ...

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LangChain is AMAZING | Quick Python Tutorial

 ArjanCodes

LangChain is a great Python library for creating applications that communicate with Large Language Model (LLM) APIs. In this tutorial, I’ll show you how it works and also discuss its design 👷 Join th...

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LangChain 101: Part 1. Building Simple Q&A App

 Towards AI

Introduction LangChain is a powerful framework for creating applications that generate text, answer questions, translate languages, and many more text-related things. I’ve been working with LangChain...

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How to Work with OpenAI APIs Using LangChain

 Python in Plain English

LangChain is a framework for developing applications powered by large language models (LLMs). Basically, it provides a common interface for working with different LLMs. LangChain uses a custom languag...

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Develop applications powered by Language Models with LangChain

 Towards Data Science

Get started using LangChain with Python to leverage LLMs Continue reading on Towards Data Science

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LangChain 101: Part 2ab. All You Need to Know About (Large Language) Models

 Towards AI

This is part 2ab of the LangChain 101 course. It is strongly recommended to check the first part to understand the context of this article better: LangChain 101: Part 1. Building Simple Q&A App The Mo...

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Integrate Mini-ChatGPT in Your Commercial Application Using LangChain

 Towards AI

Forget OpenAI API and start using the newly released commercial LLM GPT4all-J on Langchain Continue reading on Towards AI

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Deploying a Langchain Large Language Model (LLM) with Streamlit & Pinecone

 Towards AI

Deploying a full-stack Large Language model application using Streamlit, Pinecone (vector DB) & Langchain Continue reading on Towards AI

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LangChain vs. LLM-Client

 Python in Plain English

Large Language models (LLMs) have revolutionized the way we interact with text, opening up a world of possibilities for various applications. Whether you want to automate text generation, enhance natu...

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LangChain: Enhancing Performance with Memory Capacity

 Towards Data Science

LangChain’s Boost through Memory Expansion Techniques Continue reading on Towards Data Science

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LangChain: Jump into LCEL and Runnables

 Level Up Coding

LangChain‘s LCEL simplifies RAGs development with Runnable abstraction by increasing code composability, clarity, and brevity. Photo by Diego Jimenez on Unsplash This article is a part of The Practic...

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Performing Customer Analytics with LangChain and LLMs

 Towards Data Science

The recent framework LangChain reduces the technical barrier of interacting with data due to its advanced language processing capabilities, it thus potentially presents new opportunities for businesse...

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Creating RAG Agents with LangChain

 Level Up Coding

Before I begin, a quick 🔌 :-) This is Blog 3 of the beginner series on LangChain. I am documenting my GenAI learning through these posts (btw my background is in civil engineering and machine learnin...

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Async calls for Chains with Langchain

 Towards Data Science

Async for LangChain and LLMs How to make LangChain chains work with Async calls to LLMs, speeding up the time it takes to run a sequential long chain Image byhp koch on Unsplash In this article, I wi...

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LLM Chronicles #3: How Tools Work In Langchain?

 Pratik’s Pakodas 🍿

I have been fascinated with Langchain’s growing variety of tools which gives LLMs capabilities like creating a Jira ticket, write a PowerBI query or create Zapier flows. Hence I decided to get an unde...

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