Module 01 of 8~14 minAccount
What Is Graph RAG and Why It Matters
How LightRAG combines vector search with knowledge graphs. Why flat files and keyword search fail for growing knowledge bases. The architecture in plain terms.
§ You will learn
- Explain why traditional RAG (vector-only search) fails for complex knowledge bases
- Describe how LightRAG adds a knowledge graph layer on top of vector search
- Understand the difference between keyword search, semantic search, and graph-augmented search
- Identify real use cases where Graph RAG provides value over flat file systems
§ Sealed entry
This module is on file for account holders.
4 sections · ~14 min · objectives above are the preview