Proxy-Pointer RAG: Optimizing Knowledge Graph Ingestion by Reducing NER Overhead
By
Partha Sarkar
Summary
This article discusses the Proxy-Pointer RAG architecture as a solution to the costly problem of Named Entity Recognition (NER) and relation extraction in knowledge graph ingestion for enterprise GraphRAG systems. The author argues that traditional entity and relation extraction is wasteful and expensive, and proposes the Proxy-Pointer approach as an optimization technique that eliminates the need for exhaustive NER by using pointer-based references instead. The article builds on a previous discussion about solving entity and relationship sprawl in knowledge graphs, focusing this time on the ingestion phase rather than the query phase.
Source
bskyProxy-Pointer RAG: Optimizing Knowledge Graph Ingestion by Reducing NER Overheadtowardsdatascience.comKey quotes
· 3 pulledThe bigger—and far more expensive—step is identifying those entities (NER) and relations in the first place.
Knowledge Graphs are built to answer complex aggregation and multi-hop queries across entities and relationships over similar documents — vendor contracts, compliance manuals, credit agreements, global terms and conditions, etc.
Proxy-Pointer architecture can optimize searching for right entities and relations.
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