Build Smarter GenAI Apps with Graph RAG
You may have heard of Graph RAG, but you’re not sure where to get started. In this livestream, we'll show you how to implement Graph Retrieval-Augmented Generation (RAG) using the Unstructured Platform and Astra DB–fast. Graph RAG enhances your ability to understand and organize documents by leveraging a knowledge graph to reveal hidden relationships and structures. This new perspective not only aids in document visualization but also enhances RAG performance for large language model (LLM) queries.
During this session, you’ll learn:
- How to parse and interpret different types of documents using the Unstructured Platform.
- How to build a scalable, hybrid graph and vector store with Astra DB.
- How to create a rich, interconnected perspective of your documents using Graph RAG.
- How to enhance document retrieval and contextual understanding for LLMs.
Join us to discover how Graph RAG can transform your document retrieval process and improve the performance of your GenAI apps.
Speakers
Ryan Michael
Emerging AI Tech Leader
DataStax
Nina Lopatina
Staff Developer Relations Engineer, Unstructured
Unstructured