End-to-End RAG With Llama 3.1, Langchain, FAISS and OLlama #ai #llm #llama #huggingface

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End-to-End Retrieval-Augmented Generation (RAG) using Llama 3.1, LangChain, and FAISS combines state-of-the-art AI models with efficient similarity search and a robust framework to create advanced solutions for real-time information retrieval and generation(RAG).

#llm #embedding #ai #futureai #generativeai #genai #textgeneration #ragapp #langchain #programminglogic #python #chatbot #openai #gpt #rag #transformers #multiretriever #advancerag #faiss #huggingface

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Комментарии
Автор

Hi sunny,
Could you please make a video on where and how do you get to know the advance rag content and how do you stay updated?

sabinachellan
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Hi sunny !!. THANKS for informative video. I am using LLM on chat conversation history to find analysis of sales. please suggest some techniques.because RAG is not working if i want to do some analytics on chat history

jasdeepmalhotra
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Nice, Sunny !!!

Can you please create a Evaluation matrics using LLM and how we can monitor?

sachinborgave
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How to use this ollama in windows through collab

srinikethanveena
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Well done sunny, your videos are amazing, love from Lahore Pakistan

hamidraza
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Hey, is there any paid course you have where you completed everything end to end in detail?

sameerranjan
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Hi sir can you make industry level project

Mr_Sniper