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.
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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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