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Esaholic
Data-Driven Engineering Research

Enterprise AI Benchmark Reports

Empirical engineering research and benchmark studies conducted by SoftBrix AI / Esaholic. Every report includes explicit methodology, sample sizes, extractable statements, original charts, downloadable datasets, and press citation blocks.

Published Research Reports

1 Flagship Report
Sample Size: 150 Enterprise Teams Date Range: Jan – Jun 2026

State of Enterprise RAG & Vector Retrieval 2026

Comprehensive benchmark study analyzing vector retrieval accuracy, Reciprocal Rank Fusion (RRF) performance, PostgreSQL pgvector index scalability, and Cohere reranking cost-efficiency across 150 production AI teams.

Includes: Citation Block & Downloadable CSV Read Full Benchmark Report →