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.
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Field-level and query-level boost configuration
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Function score and script score query design
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Business signal integration — popularity, recency, and margin weighting
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Pinned queries and curated result overrides
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.
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Search analytics and behavioral signal instrumentation
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Zero-result and low-click-through query analysis
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A/B and interleaving test design and statistical evaluation
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Offline relevance grading with human judgment lists
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Search API Consultants
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Providing tailored API solutions for clients to drive innovation, enhance scalability, and achieve success in the digital age. Let us help you unlock the full potential of your APIs.