LangGraph + Adaptive Rag + LLama3 Python Project: Easy AI/Chat for your Docs

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#langchain #langgraph #rag #python #automation #llm #ai #automation
in this video, I have a super quick tutorial for you showing how to create a fully local chatbot with LangGraph, Adaptive Rag and LLama3 to make a powerful Agent Chatbot for your business or personal use.

Timestamps:
00:00 - intro
01:10 - What is Adaptive Rag
01:30 - How does Adaptive RAG work?
02:46 - how does Llama 3 7B and 70B stack up against other models working in "instruct" mode?
04:41 - Let's start coding
06:37 - Files
08:02 - Create Prompt
10:27 - Create grade_documents
11:32 - Create decide_to_generate function
12:49 - WorkFlow
13:22 - My Thoughts

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Thank you for the great explanation - got a new subscriber!

denisspataro

Thanks this is what i was searching for. Great explanation. Could you please provide a repository of the working code.

Traveller_Scientist

Subscribed to both the channel and medium. Great content.
How does this differ from CRAG with LangGraph? Which one is better in your opinion and experience?

bboywaters

can you make it compare documents? what concepts are in one vs the other?

paladin

Where is the format_docs function being used? It looks like the retrieved docs are passed directly to the rag_chain. Shouldn't the formatted doc be passed as context?

hazardscarn

Can we connect this with the frontend? Is it wrong? (reactjs or Streamlit, etc.)

oguzhanylmaz

Thank you so much for watching guys! I would highly appreciate it if you

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GaoDalie_AI

is there any alternative of tavily search?

atulya.anurag

great video! Could you share the code? thanks

PRColacino

nice content, but i cannot stand the ai voice

luka

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