Expanding queries with knowledge graphs
A publication dated November 13, 2024 describes a workflow combining entities extracted from queries, retrieved documents, and knowledge-graph relationships to generate contextual expansions.
Source: KAR usa knowledge graphs para expansão de queries (x.com). Text prepared with AI from this source.
What happened and what to do
The publication, dated November 13, 2024, describes KAR, a workflow that extracts entities from a query with a language model, retrieves relevant documents, and traverses knowledge-graph relationships. Those relationships are scored and filtered to generate query expansions informed by document and graph context.
A company could implement this workflow to improve retrieval across a document collection: connect search to available data and relationships, log queries and results, and measure the relevance of expansions. A project could begin with a diagnosis of data quality and evaluation criteria, followed by a proof of concept integrated with the search system.
How the consultancy can help
Wendelmaques can diagnose the opportunity and source quality, design graph-based retrieval, and implement the integration, monitoring, and operation within an agreed scope.
Next step
Send a short description of your search system or document collection to receive a proposal scoped for diagnosis and implementation.
Let's assess your project
I reply with scope and a proposal.