GraphRAG

GraphRAG is a RAG framework that utilizes Knowledge Graphs to enhance information retrieval and processing. A significant aspect of this framework is the use of large language models (LLMs) for Named Entity Recognition (NER) within Neo4j.

Related Terms

• How to search within a graph
• Text2Cypher: This feature allows users to interact with the graph in a user-friendly manner, converting natural language queries into Cypher queries.
• How to move datasets into a graph database.
• Graphrag patterns.
• The role of interpretability in understanding graph-based retrievalGraphRAGAG]]

Implementation

Use of knowledge graphs. This specific graph is called a “Lexical Graph with Extracted Entities”. LinkedIn Post

In ML_Tools see: Wikipedia_API.py

Resources

• GraphRAG Site
• Neo4j: Building Better GenAI: Your Intro to RAG & Graphs

Link: https://www.youtube.com/watch?v=knDDGYHnnSI