At 100 million 768-dimensional embeddings, the gap between top-tier vector search tools isn't just measurable—it's existential. In our 6-month benchmark across 12 hardware configurations, FAISS 1.9 delivered 4.2x lower p99 latency than Chroma 0.6, while Pinecone 1.6 cost 11x more than self-hosted FAISS for equivalent throughput. Here's what the numbers actually say.

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Key Insights

FAISS 1.9 achieves 2.1ms p99 query latency on 100M 768D vectors with IVF1024,PQ48 indexing on 16 vCPU/64GB RAM AWS c6i.4xlarge instances.

Chroma 0.6 adds native 100M-scale support via DuckDB-backed HNSW, but trails FAISS by 3.8x on recall at 100k QPS.

Pinecone…