#research

Empirical comparison of OpenAI, Cohere, BGE, E5, and Instructor embeddings on real developer documentation queries with cost, latency, and accuracy analysis.

Deep dive into RAG architectures: chunking strategies, retrieval methods, embedding optimization, and production patterns with research-backed analysis.

Systematic experiments on temperature and top-p sampling parameters across 1000 real queries with empirical data on creativity, coherence, and determinism trade-offs.