LangChain 🦜️ - COMPLETE TUTORIAL - Basics to advanced concept!

Timestamps:
0:00 Course Overview
1:24 Talk to the OpenAI API without langchain
5:04 Models, Prompts, Chains and Parser Basics
12:16 Chains: SequentialChains and RouterChains
21:11 Memory - Buffer vs. Summary
24:50 Index - Loaders, Splitters, VectorDBs, RetrievalChains
32:44 Agents - LLms plus Tools
39:00 How ChatGPT Plugins work
41:35 Evaluation - Use LLMs to evaluate LLMs

#langchain , #chatgpt

[AdrianMark]

This channel is a real gem. Excellent teaching style, and the tutorials are concise yet filled with a treasure trove of information and application. Thank you for making these, and I hope you will continue to explore AI with us. Will definitely look forward for your first masterclass.

[azizultex]

Best Langchain video I have ever watched. 🎉

[anikcabidenov]

Exactly what i was looking for! Awesome job. Keep going on 🎉

[mjmtaiwan]

That was a lot of work. Thank you for making this very enlightening video.

[RipNonoRasta]

Really helpful your videos ❤!! I would like to add in min 11:10, if you are getting this warning 'LangChainDeprecationWarning: The function `__call__` was deprecated in LangChain 0.1.7 and will be removed in 0.2.0. Use invoke instead. ' change the line --> response = chat(messages) by --> response = chat.invoke(messages) :)

[canerakca]

This is awesome thank! I wonder how to add recent announced function calling functionality in our project, since it makes much more easier to work with structured json objects.

[Canna_Science_and_Technology]

Thank you so much for sharing your knowledge and expertise.

[nikhilsharma]

answers all my doubts, great job sir!!

[PedroSotomayor-lhfp]

Amazing video! I have one question. In the Index part of the video, you go ahead and create the prompt_template with two arguments, 'question' and 'context'. But then, you didn't specify the 'question' and 'context values', so I think your query is not taking into consideration your template.

To verify it, I added in the prompt 'In all your answers, start them by saying "Dear Pedro" ' and it didn't follow the instructions.

I'm looking for ways in which to combine PromptTemplate and Embeddings, to be able to give the model a prompt and at the same time using data from .txt files

[arunakumari]

Its a very good video to understand langchain.

[StephenPasco]

Excellent instruction. How would you approach getting SEO keywords from a blog article using LangChain? Perhaps make a video about how that would be done.

[weqokjq]

marcus!! are u going to make a 2024 version of this with the LCEL and updated things?
A hug from spain!

[otimistarj]

minute 2: it needs atualization

from openai import OpenAI
client = OpenAI(api_key=api_key)
def chat(input):
response =
model="gpt-3.5-turbo",
messages = [{"role": "user", "content": input}],
temperature = 0.7,
max_tokens = 256,
top_p = 1
)

return

[savire.ergheiz]

Problem will always be the tokens usage. Even though its already reduced by a lot but it will still sending it to openAI API in full blown so it will use your token credits fast depending on how big your embedded data are.

[monkeyy]

Bomben Video! What about a locally running opensource LLM? Would be a Gamechanger for German companies especially in finance since the burdens and regulations are very strict

[a]

What modifications are needed to run against another LLM models, like those on hugging face?

[joxa]

Issues while using RetrievalQA

```
ValidationError: 2 validation errors for RetrievalQA
retriever
field required (type=value_error.missing)
retriver
extra fields not permitted (type=value_error.extra)
```

[a]

Nice! Can you run the notebooks on google colab as is, or are modification needed?

[nervous]

31:00 Why we don't need to pass parameter in the "context" variable, how does the qa object knows our query goes into "question" variables?

[ihateorangecat]

Hello 👋I am new to AI. I just subbed your channel and will coding along soon but a quick question what is the difference btn "AutoGpt" and "Functional calling". I hear them quite a lot yet still not understaning well.