Start Smart: 15 Questions to Ask Before Building a Knowledge Graph
Blog post from Memgraph
Sabika Tasneem's article emphasizes the importance of addressing key foundational questions before constructing a knowledge graph to prevent wasted resources and over-engineering. The piece outlines critical considerations such as identifying the problem a knowledge graph aims to solve, understanding the user base and their specific needs, and defining the types of queries the graph must support. It also highlights the significance of determining the graph’s boundaries, the importance of real-time querying, and the necessity of data quality and preprocessing. Furthermore, it discusses the need to resolve entity duplicates, follow existing schemas or naming conventions, and choose appropriate retrieval methods, such as vector or hybrid search. The article underscores the importance of planning for query performance, anticipating graph growth, and ensuring sufficient infrastructure. Lastly, it stresses the need for ongoing maintenance and points to Memgraph as a potential solution for handling real-time performance and streaming ingestion requirements.