Enterprises don’t want extra “vibes-based” solutions… they want receipts. Vector-only RAG is nice at discovering passages that really feel proper, however when auditors ask who mentioned what, when, and why, cosine similarity can’t testify. In case your world runs on insurance policies, provenance, and repeatability, you may’t ship a black field and name it a day.
Graph-based RAG places construction again into retrieval: entities, relationships, and time are first-class, so each declare is traceable by means of a concrete path from query → proof → supply. It narrows the search to a grounded subgraph, boosts faithfulness, and pairs neatly with CPU-friendly inference and low-temperature decoding for constant outputs. Add PROV-style lineage, transaction logs, and policy-aligned retention, and also you’ve obtained solutions your compliance group can really log out on. Watch the offered embedded YouTube video for extra technical particulars.
If this sounds just like the antidote to “belief me,” you’ll like the place the entire piece goes. The weblog dives into the enterprise case: governance, reproducibility, price management, and a realistic hybrid sample that blends graph precision with vector recall. Give it a learn to see how Graph RAG turns into your default Enterprise retrieval possibility and when to layer vectors for scale with out sacrificing proof.
Try the complete weblog publish right here: bit.ly/4mR3ORR