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

  Рет қаралды 14,838

Venelin Valkov

Venelin Valkov

Күн бұрын

Пікірлер: 11
@venelin_valkov
@venelin_valkov 4 ай бұрын
Full-text tutorial (requires MLExpert Pro): www.mlexpert.io/bootcamp/advanced-rag-with-llama-3-in-langchain
@daviddooling6452
@daviddooling6452 2 ай бұрын
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!
@subzerosumgame
@subzerosumgame 3 ай бұрын
thanks mate ! subscribed, keep up the good work !!!
@MrWeasel4o
@MrWeasel4o 3 ай бұрын
за пореден път - отличен материал!
@RajaRahamathullah04
@RajaRahamathullah04 3 ай бұрын
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 3 ай бұрын
i think RetrievalQA class is deprecated. What about updating it to use the create_retrieval_chain
@mohsenghafari7652
@mohsenghafari7652 3 ай бұрын
tanks
@SahlEbrahim
@SahlEbrahim Ай бұрын
is there any method to correct that mistake about calculating profits?
@doansai
@doansai 3 ай бұрын
Great material! My I ask you what model and hardware config are you using to get those performances? Thank youu
@doansai
@doansai 3 ай бұрын
just saw! it's a remote llama model from groq api :)
@iictiit
@iictiit 2 ай бұрын
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.
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