LangChain Crash Course For Beginners | LangChain Tutorial

LangChain is an open-source framework that allows you to build applications using LLMs (Large Language Models). In this crash course for LangChain, we are going to cover the following topics,

00:00 Introduction
00:22 What is Langchain?
04:38 Langchain installation and setup
06:28 LLMs, Prompt Templates
10:12 Chains
11:57 Simple Sequential Chain
15:30 Sequential Chain
18:00 Build Streamlit App
27:40 Agents
37:24 Memory

#️⃣ Social Media #️⃣

[codebasics]

CLARIFICATION: OPENAI recently released openai functions that allows you to query external data source such as the database of your organization. In the initial slides i explained 3 reasona of using langchain out of which the first one is still valid (cost effectiveness ny using open source models such as hugging face bloom) but the other two reasons are something that can't be achieved using plain chat completion api but can be achieved using openai functions and future apis that they release. The summary of benefits of using langchain woule be as follows,
1) ability to plug in any type of model (openai gpt4 vs open source model such as hugging face bloom)
2) abstraction that makes development faster. E.g. prompt templates

[illiteratenerd]

I've been watching tutorials from past 10 months and This is the best tutorial to understand some of the foundation concepts of how langchain works.

[TheMinuteLife]

Very helpful. I especially appreciated seeing the details and use cases you showed and explained. I am new to these concepts, so having you explain the basics is invaluable. For example, one of my favorite sections was understanding the concept of how LLMs combine “reasoning” and “knowledge.” And, having you then walk through the actual examples is what makes this video one of the best I have watched. Thanks so much!

[abdulshaikh]

probably the best video i've seen on langchain you presented this booming topic in a very easy and understanding way....Thankyou so much dude you just gained one sub! ❤

[mattsavage]

Excellent video! I'm a longtime software developer, but found this useful as an intro to langchain. Thank you!

[eyadaiman]

Sir you are my hero thank u so much I have improved a lot in deep learning and you are one of the reasons I trully don't know how to thank u, you are literally a legend

[AashishPrajapati-nrox]

I didnot expect to learn about so many different things in addition to langchain. Thank you.

[vijay_khanna]

Respected Dhaval Sir, This is one of the best training content i have seen. Your efforts (especially the Hindi courses) are accelerating India's pace to become a developed nation. Hats off to your Enthusiasm, and Commitment.

[HarshShah]

Thank you dhaval for providing easily understandable content.Waiting eagerly for this series on end to end llm applications.

[WanderWarick]

So, to be honest its one of the best video on llm i have came across . even with little or no knowledge of nlp or dl i have understood the topic explained by u.. thnk u so much Dhaval sir for making these helpful videos that too free of cost

[wong]

I've spent two days poring over the langchain docs without much clarity. However, your video provided the insights I was seeking and greatly enhanced my understanding. Thank you for the invaluable content!

[shaktisingh]

Very helpful. You explained everything smoothly, making it easy to understand. Thanks!

[SamirPatel-dvxm]

Good Job Dhaval,
you made life easy for many Sr Software Eng.
Keep it Up.

[dileepb]

Loved the explanation. Thank you for taking time to make such informative videos.

[leamon]

Thanks man. Looking forward to the introduction about agent in the future videos.

[agerman]

Impressive course. You are an extremely wonderful instructor.

[chongdashu]

Thanks so much for this. I've made an updated version following along this course and also tried using an alternative framework (Gradio) for the front end app.

[EduljiBharucha]

Excellent tutorial! You sir were born to be an educator. I have watched a few tutorials on this topic. IMO this ~45m video trumps all of them. Thank you.

[rohitpolasani]

This is what i have been waiting for . please make more tutorials on langchain

[AkankshaChandolaAnthwal]

Thanks Dhaval for providing simple explanations and it was really helpful. Highly appreciate all your efforts.