Discover how to harness the power of GraphRAG by Microsoft to enhance your AI projects in this 13-minute tutorial. Learn to ingest multiple data sources, extract relevant information, and integrate it into a Python application. Master the creation of an intelligent chatbot capable of answering complex queries. Explore key steps including installation, data processing, indexing, application setup, query execution, and user interface creation using Chainlit. Gain valuable insights on cost optimization and efficient data management. Follow along as the tutorial covers advanced features, initial setup, data conversion, graph formatting, Python integration, query running, community levels, local search, question generation, and interface design. Perfect for developers looking to elevate their AI and Python skills while avoiding overspending on their projects.
GraphRAG Advanced: Optimize AI Projects and Reduce Costs
Overview
Syllabus
- Introduction to GraphRag and Video Overview
- Advanced Features of GraphRag
- Installation and Initial Setup
- Data Ingestion and Conversion Process
- Indexing Data into Graph Format
- Integrating GraphRag in Python
- Setting Up and Running Queries
- Community Levels and Cost Management
- Performing Local Search
- Question Generation and Additional Features
- Creating a User Interface with Chainlit
- Final Thoughts and Summary
Taught by
Mervin Praison
