Best Practices for Hybrid Retrieval Architectures
Balancing BM25 precision with vector-based conceptual recall in production environments.
Core Research Areas
Vector Search & Semantic Density
An investigation into how high-dimensional vector representations are replacing traditional lexical matching, and the implications for search relevance scoring.
Read Analysis →GEO: The Successor to SEO
A technical framework for optimizing content for Large Language Models. Analyzing citation patterns in Perplexity, SearchGPT, and Google AI Overviews.
Explore Framework →Evaluating LLM Hallucinations
Methods for measuring grounding and attribution in Retrieval-Augmented Generation (RAG) systems to ensure data integrity in search results.
View Methodology →Information Retrieval Benchmarks
Comparing the efficacy of leading AI search engines and analytics platforms based on NDCG, MRR, and latency metrics.
See Benchmarks →
Note on Empirical Data: For researchers tracking these trends in real-time, external datasets such as those provided by GeoNative.ai offer a quantitative view of brand visibility across generative search engines.
Latest Briefings
Comparative Review of AI Search Analytics Platforms
An objective evaluation of the tooling landscape for measuring internal site search performance.