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Advanced RAG with Llama 3 in Langchain | Chat with PDF using Free Embeddings, Reranker & LlamaParse 

Venelin Valkov
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26 сен 2024

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Комментарии : 12   
@venelin_valkov
@venelin_valkov 4 месяца назад
Full-text tutorial (requires MLExpert Pro): www.mlexpert.io/bootcamp/advanced-rag-with-llama-3-in-langchain
@subzerosumgame
@subzerosumgame 4 месяца назад
thanks mate ! subscribed, keep up the good work !!!
@daviddooling6452
@daviddooling6452 2 месяца назад
that's great; llama-parse is sweet. Please make a video showing how to use a knowledge graph index in conjunction with the vector DB!
@RajaRahamathullah04
@RajaRahamathullah04 4 месяца назад
Thank you for the tutorial very useful and easy to follow, can you please add the UI for this RAG application so that normal user can interact.
@pelumifagbemi8351
@pelumifagbemi8351 4 месяца назад
i think RetrievalQA class is deprecated. What about updating it to use the create_retrieval_chain
@MrWeasel4o
@MrWeasel4o 4 месяца назад
за пореден път - отличен материал!
@SahlEbrahim
@SahlEbrahim Месяц назад
is there any method to correct that mistake about calculating profits?
@mohsenghafari7652
@mohsenghafari7652 4 месяца назад
tanks
@pocomoco33
@pocomoco33 7 дней назад
an error occurred? how can i get in touch with you?
@iictiit
@iictiit 3 месяца назад
How to use ms doc docx with the same code . Any one suggets or point to code. Everything remains same except the input is docx.
@doansai
@doansai 4 месяца назад
Great material! My I ask you what model and hardware config are you using to get those performances? Thank youu
@doansai
@doansai 4 месяца назад
just saw! it's a remote llama model from groq api :)
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