Unleashing the Power of LLM Knowledge Graphs with Neo4j's GraphRAG

Neo4j's new LLM Knowledge Graph Builder simplifies transforming unstructured data into dynamic knowledge graphs. Integrated with a Retrieval-Augmented Generation (RAG) chatbot, this tool supports data ingestion from PDFs, web pages, and YouTube videos, identifying entities and relationships to construct a knowledge graph. The front end is built with React, and the back end uses Python FastAPI. Users can interact with data via an intuitive interface, enabling natural language querying for insightful data exploration.

For those interested in diving deeper into natural language processing, "Mastering Natural Language Processing with Python and NLTK" is a comprehensive guide. This book offers practical techniques and insights to leverage Python and NLTK for NLP tasks, making it a valuable resource for data scientists and developers alike.

Explore more about Neo4j’s innovative tools here and enhance your NLP skills with this book.