Standard vector RAG fails for IC hardware design because silicon is a hierarchical graph, not a flat document collection. The Arango Contextual Data Platform uses ArangoDB to unify graph traversal, vector search, and document storage in a single engine. Benchmarked on 50,000 nodes and 180,000 edges across 5 open-source IC repos, the platform achieves 92% fewer LLM tokens (460 vs 5,200), 5x lower query latency (sub-60ms vs 300ms+), and zero hallucinated module links. Key capabilities include cross-repo lineage tracing, temporal 'time-travel' queries via Design Epochs, and automatic detection of recurring design patterns to prevent teams from repeating past architectural mistakes.
Table of contents
TL;DRVector RAG is flying blind in silicon designOne engine. Graph, vector, and document — unified.Measured on 50,000 nodes · 180,000 edges · 5 open-source IC design reposThis is a summary. The full article has the depth.Read the full technical deep-dive on Medium1.4K Impressions