Build a Knowledge Graph from Scratch | Step-by-Step Guide with Real Code & Demo #KnowledgeGraph #ai

Unlock the power of knowledge graphs in your data projects! In this hands-on tutorial, learn how to build a knowledge graph from scratch using Python, Streamlit, and cutting-edge AI models. Let me walk you through the entire process—from extracting entities and relationships with LLMs, to visualizing and analyzing your graph interactively. What’s Inside: -End-to-end demo: Build and visualize a knowledge graph from a text document -Entity and relationship extraction using OpenAI and heuristic approaches -Hands-on Streamlit app showcase for real-time knowledge graph creation -Exploring graph use cases: AI applications, recommendation systems, compliance, and more -Tips on storing knowledge graphs in Neo4j, AWS Neptune, and other graph databases Whether you’re new to knowledge graphs or aiming to level up your AI and data science skills, this beginner-friendly guide delivers everything you need to get started. 🔗 Don’t miss out on the follow-up tutorial—comment "graph database tutorial" to request it! Welcome! I'm Aman, a Data Scientist & AI Mentor. 🚀 **Level Up Your Skills:** * **Udemy Courses:** 🔥 **Start Learning Now!** 🔥 * Data Science Zero to Hero: https://www.udemy.com/course/data-science-zero-to-hero/?referralCode=C742FD376D04979BDD80 * Data Science Zero to Hero (Hindi): https://www.udemy.com/course/data-science-zero-to-hero-hindi-course/?referralCode=A795A06C1728049E284C * Agentic AI for Beginners: https://www.udemy.com/course/agentic-ai-for-beginner/?referralCode=DBF3F13F598187FCCBBC * Git, GitLab, and CI/CD: https://www.udemy.com/course/git-gitlab-and-ci-cd/?referralCode=C092A565E5525B9947CD * Docker for Beginners: https://www.udemy.com/course/docker-for-beginners-z/?referralCode=CDC738F62D12172B6ADD * Courses, Workshops & Webinars: https://www.unfolddatascience.com * LinkedIn: https://www.linkedin.com/in/aman-kumar-b4881440/ * X (Twitter): @unfolds * Instagram: @unfold_data_science * GitHub: https://github.com/UnfoldDataScience/YouTube-Videos-files 🎬 **Featured Playlists:** * LLM for Generative AI application development - https://www.youtube.com/playlist?list=PLmPJQXJiMoUWQO3ndlcQqgrmnkTBb8XrV * Advanced NLP & Generative AI: https://www.youtube.com/watch?v=As3TT3xlddU&list=PLmPJQXJiMoUW7pge9N-J5NQuPcwhzFTfY&pp=gAQB * AWS for Data Science: https://www.youtube.com/watch?v=0SYV7o_fd50&list=PLmPJQXJiMoUWFW2JxRSAfhcsQ0Cr9qbv-&pp=gAQB * Deep Learning & Neural Networks: https://www.youtube.com/watch?v=2-Cg_1FtHk8&list=PLmPJQXJiMoUVvvzXCBKSt0aA8A5NlryjV * Natural Language Processing: https://www.youtube.com/watch?v=cs049uQWbpg&list=PLmPJQXJiMoUUSqSV7jcqGiiypGmQ_ogtb * Data Science Mock Interviews: https://www.youtube.com/watch?v=pHwUllYAXqk&list=PLmPJQXJiMoUURuxLJoroTyBf9zxvgHDvk&pp=gAQB * Interview Question Series: https://www.youtube.com/watch?v=pufyEgNOT0s&list=PLmPJQXJiMoUU3h2LaP6pi9-U9vC3iZeU4&pp=gAQB * Intro to Data Science:https://www.youtube.com/watch?v=Zkyog5u1OGw&list=PLmPJQXJiMoUWXbjyedFTmXPzzoeMJV4fe * Python for Data Science: https://www.youtube.com/watch?v=NTZkMI5tuh8&list=PLmPJQXJiMoUWtuekopnh4BhTFkDBvmhnC * Statistics & Mathematics:https://www.youtube.com/watch?v=iZ2r7aIwMbc&list=PLmPJQXJiMoUU52xCfjyoGRfoLCHKFtDxX * Machine Learning end to end in Python:https://www.youtube.com/watch?v=8PFt4Jin7B0&list=PLmPJQXJiMoUWKj26qv_Pw5Aofxncu84JB * Ensemble Models: https://www.youtube.com/watch?v=fuO6QXAo-5M&list=PLmPJQXJiMoUWfMvIqAn0VI_LHlw4AmVrb * Data Science Career Guide:https://www.youtube.com/watch?v=9pytkbvF8AU&list=PLmPJQXJiMoUWoG8fRUXPRcZec9LgdHmCL * Recommendation Systems: https://www.youtube.com/watch?v=juqpTaieIkA&list=PLmPJQXJiMoUWZeVfB5fle6dwyySg7xLMq 🎥 **My Studio Gear:** * Camera: https://amzn.to/3mwXI9I * Mic: https://amzn.to/34phfD0 * Tripod: https://amzn.to/3r4HeJA * Ring Light: https://amzn.to/3gZz00F * Music: https://www.bensound.com/royalty-free-music #DataScience #AI #MachineLearning