ExpertRec integrates with the leading ecommerce platforms

Expertrec uses transparent, flat-tier pricing based on search volume, products, and features—unlike Algolia’s granular, usage-based billing per query or record. This predictable structure often saves significantly on medium and high-volume sites.

You can import Algolia indices, synonyms, and query rules directly. Expertrec also mimics Algolia API endpoints, allowing most frontend and backend code to remain unchanged during migration.

Yes—built-in Levenshtein fuzzy matching, phonetic logic, and instant typeahead autocomplete deliver results in milliseconds, reducing null queries by ~90% . Users report sub‑10 ms return times for suggestions and search results.

Absolutely. Expertrec employs a hybrid ranking engine—combining traditional BM25-like keyword scoring with dense embedding similarity—to surface semantically relevant results, even when keyword overlap is low.

Facets & filters: price, brand, category with hierarchical multi-select

Searchandising: drag-and-drop boosts, time-based pins/burials, inline banners

Recommendations: upsell, cross-sell, “also viewed” powered by collaborative filtering.

Yes—Expertrec supports 30+ languages, including CJK, Arabic, Cyrillic, with Unicode-safe indexing, transliteration, language-aware stemming, and synonym support.

Realtime CTR, null-query, and conversion reporting are included across all plans. The dashboard offers drill-downs on query trends, funnels, filter usage, and A/B campaign setup. All data is exportable as CSV .

Expertrec offers a JavaScript SDK, REST APIs, and no-code dashboard for UI customization. It provides plug-and-play widgets for search bars, autocomplete, facets, merchandising, and supports React/Vue frameworks.

All plans include live chat support, a dedicated migration specialist, documentation, and onboarding help. Enterprise tiers offer personalised technical setups, training, and priority support.

Yes — real‑time dashboards track CTR, null‑query rate, conversion funnel data, plus CSV export and A/B campaign support.

Detail the JavaScript-powered crawler, real-time live/index updates, sub-millisecond query latency, and industry-standard scale.

Expertrec includes geospatial search capabilities—allowing “search near me” queries, radius filtering, and ranked results by distance. It supports indexing geo_point fields and leverages this data at query time for precise location-based results.

Yes—each pricing tier sets monthly quotas on indexed pages, search queries, and GenAI usage. Within those quotas, no per-request billing occurs. You won’t face unexpected overage fees for spikes in usage—just an automatic upgrade prompt if you exceed your tier.

Absolutely. Expertrec supports field-level weighting, allowing you to boost or deprioritize products based on stock, recency, promotions, or margins. Advanced users can create pipeline rules with conditional logic to include/exclude results, akin to Algolia’s query rules.

Yes. Expertrec is designed to handle large-scale catalogs (millions of records) with sub-millisecond query latency. Documents are sharded and cached across distributed infrastructure, ensuring performance consistent with enterprise-grade search solutions.

Yes—Expertrec enables multi-source/federated search, so you can search across product catalogs, blog content, and knowledge bases in a single query. Results are merged and ranked with relevance scoring, with optional UI filtering on content-type.

Expertrec offers RESTful APIs, JavaScript SDK, and plugins for React, Vue, Next.js, and Gatsby. It supports ingestion via CSV/JSON feeds, sitemap crawling, and CMS connectors—making it ideal for headless and JAMstack setups.

Every plan includes live chat, email support, and access to migration docs. Premium and enterprise tiers offer SLAs, onboarding assistance, dedicated account management, and custom feature development support—ensuring smooth migration from Algolia or other platforms.