Getting Started with LangChain | JavaScript Tutorial #1

Build powerful AI-driven applications using LangChain. LangChain is a groundbreaking framework that combines Language Models, Agents and Tools for creating amazing AI-based apps like ChatGPT, AutoGPT, and more. In this series we will have a look at the fundamenal concepts of LangChain using the JS/TS/Node version of LangChain.

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CHAPTERS:
00:00 - Introduction to Langchain JS
01:05 - Prerequisites and Node setup
02:08 - Getting started with Langchain
02:37 - Using the LLM Model
04:14 - Generating the OpenAI API Key
06:22 - Environment Variables
07:47 - Prompt Templates
10:36 - LLM Chains
13:04 - Agents & Tools explained
18:09 - Agent Types
20:27 - Verbose
21:28 - Memory
24:39 - Streaming Responses
26:08 - In conclusion

#openai #langchain #langchainjs #gpt3 #gpt4 #autogpt #agi #babyagi #chatgpt

[keithscheldt]

This was exactly what i've been looking for! I appreciate you so much!

[derejew]

You are simply the best! I can't tank you enough. Please do more Leon!

[jorgeduardo]

This is the most comprehensive langchain tutorial I've seen so far. Great job Leon, subscribed!

[AdrianPerez-dpyq]

Leon you are an incredible guy, you did the tutorial I was looking for, well explained, great content.
Thanksss <3

[cubiq]

Very informative tutorial. Baie dankie! Looking forward to future videos

[mikew]

Excellent video! Yes, some examples we can run in a Colab to try out ourselves would be awesome.👍

[ScottSuhy]

Leon, this was so helpful. thank you!

[m.sulemankhan]

Amazing Explaination Amazing Tutorials !!

[coreyamccoy]

Dude you are so good. Thank you for making these videos 👏👏

[marusdod]

pretty informative, I knew nothing about LangChain before

[rossanobr]

Very nice video! It would be nice if you could make a video about querying large pdf or txt files and use it with gpt and js!

[cargobridgesolution]

Hello Leon, thanks for your tutorial. May I ask how to reference an environment variable (openai_api_key) in the script instead of hard coded? I’ve added one line in .zshrc file: export openai_api_key=‘my api key’

[crxrwfg]

Very good video and thanks for adding value! I have a problem: when I pass the openai api through the .env file it doesn't work for me. If I do it directly, yes. Thanks for helping!

[HasanAYousef]

Thanks, that is really great, and I liked the simple way of your explanation, can you make another video on how to do it with offline LLM models, and with using own/local data and files?

[ishaansinghal]

Really a great Tutorial i would really love one more about querying huge amount of data say 50, 000 words or something

[rafarolsky]

In memory, in ConversationChain, it is not necessary to declare memory = new BufferMemory() and add it to ConversationChain. It will work without it in this example.

[harshsinha]

nice video sir but why did we use servapi tool, without using it still model is getting response from internet search? Is it helping to get my response faster ?

[askcoachmarty]

I agree with these comments. It's great to see some javascript examples. The part on Agents and Tools was perfect! Do you have any examples of using BufferMemory and the conversation chain? It works like a champ if I have one input variable in my prompt, but once I define more than 1, I get an error stating that the input values have multiple keys and memory is only supported with one key currently. Is this the case or is it possibly the way I'm trying to pass the variables in? This feels more like a "stupid user error" :) to me. Thanks for the videos; keep 'em coming!

[rayansalghiti]

Thanks for your value but I have question, what are programs that I have to learn to be able to use langchain professionally ?

[chetan]

sorry if this is too basic of a question. But what are the limits of the API key generated like so 4:33? i'm guessing we'll run out of limits after certain time or certain amount of usage?