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Building Question Answering Systems with LLM and Knowledge Graph for Enterprise Search

This story is from 2026-09-03. It is preserved in the archive; the latest stories are on the live feed.

Enterprise search fails the moment an LLM hallucinates a policy date or invents a reporting relationship. Dense vector retrieval helps surface relevant documents, but embeddings alone discard the explicit relationships that define how departments, products, and compliance rules actually connect. Pa…

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  1. 2026-09-03 11:32 · DEV Community — AI
    Building Question Answering Systems with LLM and Knowledge Graph for Enterprise Search

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