How to Build Your Own Question Answering System with Neo4j, Python & Gradio - Step by Step Tutorial

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  • Опубліковано 6 жов 2024
  • In this tutorial and demo, you'll learn how to build your very own AI-powered question answering system using Neo4j, Python, and Gradio! First, we'll walk through the basics of Neo4j, a graph database management system that's perfect for storing and querying large amounts of interconnected data. Then, we'll dive into how we can use Python to build a powerful question answering system that leverages the power of Neo4j.Once we have our system up and running, we'll showcase how it works using Gradio, a user-friendly web-based interface that makes it easy to interact with and test our system. By the end of this video, you'll have the skills and knowledge you need to create your own powerful question answering system, ready to tackle even the most complex questions! So, join us for this exciting tutorial and get ready to take your AI skills to the next level!
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КОМЕНТАРІ • 9

  • @ankitranjan30
    @ankitranjan30 Рік тому +2

    Would it have been more accurate to just ask GPT3.5 to extract the entities instead of using a (dated?) spacy model to extract the entities? Would love to know.
    Thank you for your video! It was very informative.

  • @heakjosh8805
    @heakjosh8805 Рік тому +1

    👌⭐ first gradio-neo4j combo.
    Pydantic data validation for user input data-type check needed ?
    Best way to query multiple qs & plot data using netwrx ?

  • @avidlearner8117
    @avidlearner8117 Рік тому

    Wow, great use of Graph!

  • @muritalaadebayoisah9155
    @muritalaadebayoisah9155 Рік тому

    Thank you for this video.

  • @prajnapn5946
    @prajnapn5946 7 місяців тому

    How did you convert natural language to cypher query?

  • @LoremIpsum-yt
    @LoremIpsum-yt Рік тому

    Nice 🔥