Benchmark Compares Graphify AST Parsing With Vector Store Query Performance

A developer benchmarked Graphify, a deterministic AST parsing tool, against a Pinecone vector store to evaluate code navigation tradeoffs. Tests ran on a 16-core AMD EPYC machine with 64GB RAM against a 180k-line Python monorepo, over 300-second warmed scenarios. Graphify had a much slower cold start of 14.2 seconds versus 3.1 seconds for embedding generation, but delivered lower p50 and p99 query latencies and higher throughput at 50 concurrent queries. It also recorded a 0.0% false positive rate compared with 8.3% for the vector approach, though it used roughly 890MB of memory versus 210MB. The author recommends Graphify for refactoring automation and complex dependency tracing, and vector stores for frequently changing codebases or memory-constrained environments.