Mastering GraphRAG: Advanced Text Analysis and Question Answering

Dive into the cutting-edge world of text analysis with GraphRAG (Graph-based Retrieval-Augmented Generation), a powerful tool that combines the strengths of large language models with graph-based knowledge representation. This hands-on course will guide you through the process of setting up, running, and visualising complex text analyses using GraphRAG in Google Colab.

What You’ll Learn:

• Understand the fundamentals of RAG and GraphRAG technologies
• Set up a GraphRAG environment in Google Colab
• Process and analyse literary texts using AI-powered entity and relationship extraction
• Create and interpret visual representations of textual data using network graphs
• Customise graph visualisations to highlight key insights from your analysis

This course is perfect for:

• Data scientists and analysts looking to expand their text processing toolkit
• AI enthusiasts interested in cutting-edge natural language processing techniques
• Researchers and students in digital humanities or computational linguistics
• Anyone curious about advanced methods for deriving insights from complex texts

By the end of this course, you’ll have hands-on experience with GraphRAG, enabling you to perform sophisticated text analysis and visualisation on any corpus of your choice.