Data to GraphRAG- How and Why?

In this article we will see about GraphRAG, How Data is converted to GraphRAG and Why?

GraphRAG is representation of RAG data as a Knowledge Graph and stored in a Graph Database.

In general, if we want to represent a network we use graphs. We use graphs to represent road connectivity between two cities. Applications use efficient algorithms to use shortest path between two cities. Sometimes we want a cheaper path between two cities. Based on the use case we are trying to solve, appropriate algorithms will be used like Breadth-First Search (BFS), Depth-First Search (DFS), Dijkstra’s algorithm or Bellman–Ford etc.

Knowledge Graph

It is similar to graphs mentioned above, however with more details about a specific subject and its relationships with other subjects.

How is Data converted to Knowledge Graph?

Data to Knowledge Graph

1. Data is ingested from multiple sources.
2. Organizations create taxonomy, which is a hierarchical representation of how data has to represented in a graph. For example — A School will have a principal followed by HOD of each department, which is further followed in a tree structure by Lecturers in each department.
3. Organization create Ontology to represent more complex data relationships.
4. In parallel, Data modelling is done to create schema representation of the Graph.
5. Data Quality Management is done by data transformation using Medallion architecture.
6. Medallion architecture is a layered data engineering pattern that progressively transforms raw data into high-quality, business-ready assets through bronze, silver, and gold layers.
7. The details above are uploaded into a Graph database to create a Knowledge Graph.

Why Knowledge Graph?

It helps us get new insights about the data and the subjects involved. This has helped to provide personalized experience for the users of an application. It also helps the organization to provide personalized suggestions based on user preferences. In AI this is utilized for generating recommendations for the users.