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

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.

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