LangChain 101: Quickstart Guide

LangChain 101 Quickstart Guide. We run through 4 examples of how to use the LangChain Library

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* LLMs
* Prompt Management
* Memory
* Agents

[burakylmaz]

Hi Greg, I'm diving deep into all your lang-chain related videos today and wanted to say 'thank you' for putting these out there.

[martinp]

I am so glad I stumbled across your channel. You have a gift of explaining things and not skipping the basic steps especially for beginners. Thanks!

[zwdavezhang]

Thank you for your teaching, I started to understand LangChain from this, I also compiled some notes to share with my partners, these introductory courses will give us the opportunity to open the future world.

Thank you very much!

[AngusLou]

Short and sweet, clearly explained the concepts of langchain and how it works with OpenAI

[adhithia]

Hey Greg, I am just entering the world of LangChain, and it is mind blowing! What's more mind blowing is the simple but effectively explained content you have in your videos! This is beautiful! A big thanks! ✨

[LesCalvin]

I'm fairly lost, because I've thrown myself into the deep end with this stuff. But when you got to "Dynamically call chains..." Holy moly. I'm blown away.
I really hope videos like this can help me get up to speed before I get left behind. Thank you so much. 🙏

[RunyCalmera]

Greg!!! ❤❤❤❤❤ thank you so much!!

I just put 3 months away to follow this series. Every day I will do one tutorial.

I’m conviced that I need to invest in this as a python programmer!!!

[nattapongthanngam]

Thank you for this clear and concise introduction to LangChain! The four examples you provided were very helpful in understanding how to use the library. I'm excited to explore LangChain further and I'm excited to keep going through your playlist. Thanks again!

[feignedjesse]

This introduction is great, I'm gonna go through the whole series!

[OfficialPeterArizBurner]

Wow! Thanks Greg! Best walk-through video I've found yet! Keep it up. Thanjs again

[tejaswi]

Thank you Greg for these tutorials. Super helpful

[MarkusEicher]

Hello Greg. Thanks for giving us a high level overview of what we can do with langchain. As a newbie, I like this kind of introduction. Just going through the whole playlist now and I'm sure, I will come back often to your channel for further studies. Have a good time and be well.

[codeandfood]

you made it so clear to understand LangChain. Thank you!

[PunjabiCodeMaster]

Thanks Greg!! Will follow entire series.

[anihe]

This is an excellent tutorial about langchain. Many thanks!🤩

[amansharma]

Great explanation and easy to follow. Thanks

[sreeramkrishnamachari]

Great videos, Greg - Thanks for pulling this content together. Quick one - Looks like the "llm-math" is expecting input a certain way to calculate prime number below the age of Japans leader. It is not getting the query in the right format to to do the calculation. It is doing the first two steps accurately. I am getting ValueError message:

ValueError: unknown format from LLM: This is not a math problem and cannot be translated into an expression that can be executed using Python's numexpr library.
Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings...

[chandankumarmishra]

Hi Greg, thanks a ton for creating this masterpiece and useful stuff on the real world examples and awesome presentation...kudos...

[luqi]

your video really helps a lot for a beginner! Thanks for the effort!

[tenicg]

Great job, Greg! Your walkthrough video was incredibly helpful, and I learned a lot from it.