Complete RAG Tutorial to chat with PDF Documents | Llama Index
⭐️ Content Description ⭐️
In this video, I have explained about retrieval augmented generation (RAG) to answer queries from documents (pdf, word, txt, etc.,) using llama index and openai. It involves other embedding models to retrieve relevant context from the documents to answer the user queries.
Code Link: https://shorturl.at/67AAn
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🕒 Timeline
00:00 Introduction to RAG (Retrieval Augmented Generation)
01:02 Install Modules - Llama CPP with CUDA
03:21 Import Modules
07:53 Initialize LLM Models (OpenAI & Mistral 7B)
16:10 Load the Documents
21:41 Build Vector Index
27:04 Build Query Engine
36:30 Get Response for queries from Documents
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Watch video Complete RAG Tutorial to chat with PDF Documents | Llama Index online without registration, duration hours minute second in high quality. This video was added by user Hackers Realm 14 August 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 889 once and liked it 24 people.