Nicolai Nielsen ：Building a PDF Question & Answer RAG System from Scratch with Astra DB, LangChain and GPT-4
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In this video 📝 we are going to build a PDF Question & Answer RAG system from scratch with apache cassandra, astra db, langchain and gpt-4 from OpenAI. First of all, I will walk you through the basics of LLMs and retrieval-based models. Then how we can take the best of both worlds and combine them is a RAG system. We are going to write all the code from scratch! At the end of the video we will set up a Streamlit application for a chatbot.
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Colab Notebook: https://colab.research.google.com/drive/1wrqei_FgMl9DTPgSAkLrPxQotdC-FLZu?usp=sharing
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0:00 Intro
0:55 Large Language Models
1:49 Retrieval Based Models
2:29 Retrieval Augmented Generation
3:12 Vector Database
4:11 The Architecture
4:49 Datastax
8:14 Coding in Collab
25:29 Results in Collab
29:31 Streamlit Applikation in Python
31:07 Results in Streamlit
33:04 Outro
Tags: #chatbot #largelanguagemodels #RetrivealBasedModels #RetrivealAugumentedGeneration #RAG #VectorDatabase