Search Relevancy

Relevance is the single most important factor in whether users trust your search. A technically perfect cluster that returns poor results will drive users away just as surely as downtime. Our relevancy engineering practice combines deep Elasticsearch expertise with data-driven experimentation to build search experiences where the right result appears at the top — consistently, across every query and every user context.

Custom Scoring & Ranking

Default BM25 scoring treats every field and every signal equally, which is rarely what your business needs. We design scoring strategies that reflect actual user intent and business value — boosting freshness for news sites, conversion signals for e-commerce, or authority signals for knowledge bases. Our scoring models are explainable, maintainable, and tunable without a full reindex.

  • Field-level and query-level boost configuration
  • Function score and script score query design
  • Business signal integration — popularity, recency, and margin weighting
  • Pinned queries and curated result overrides
search scoring
query analysis

Query Analysis & A/B Testing

Relevance cannot be improved by intuition alone. We instrument your search to capture click-through rates, zero-result queries, reformulation patterns, and session abandonment signals. These metrics become the feedback loop that drives continuous improvement. We then design controlled experiments that measure actual relevance impact, not just query speed, giving you the evidence to make confident configuration changes.

  • Search analytics and behavioral signal instrumentation
  • Zero-result and low-click-through query analysis
  • A/B and interleaving test design and statistical evaluation
  • Offline relevance grading with human judgment lists

Analyzers, Synonyms & Language Tuning

How text is analyzed at index time and query time determines whether tokens match at all. We design custom analyzer chains that handle your domain's vocabulary — including abbreviations, product codes, industry jargon, and multilingual content. Synonym graphs, stop word filters, and language-specific stemmers are tuned to your actual query logs, not generic defaults.

  • Custom tokenizer and filter chain design
  • Synonym graph token filter with runtime reload support
  • Language-specific stemming and character normalization
  • Multi-field mapping for cross-language search coverage
language tuning