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AI Semantic / NLP Search — An AI embedding-based semantic search module for Magento 2 / Adobe Commerce that understands natur — 1/1معاينة توضيحية

An AI embedding-based semantic search module for Magento 2 / Adobe Commerce that understands natural-language

shopper intent — built, installed and supported by

ECOSIRE on your store.

ما هو AI Semantic / NLP Search؟

An AI embedding-based semantic search module for Magento 2 / Adobe Commerce that understands natural-language shopper intent — built, installed and supported by ECOSIRE on your store. Built to order by ECOSIRE for Magento 2 / Adobe Commerce (build-to-order) — indicative price from $999.00 USD; request a quote for a scoped proposal.

الميزات الرئيسية

AI embedding-based semantic relevance ranking (OpenAI or self-hosted model) that scores products by meaning, not keyword overlap
Natural-language query understanding with built-in typo and misspelling tolerance
Automatic synonym and shopper-intent detection — no manual synonym lists to maintain
Search analytics and zero-result reporting dashboard behind Magento admin ACL
Configurable relevance weighting per product attribute (name, description, brand, category, custom EAV) via Stores → Configuration
Integrated via plugin/interceptor around the search results provider — no core hacks, upgrade-safe
Observer on catalog_product_save_after for incremental embedding refresh plus a cron job for bulk re-index
GraphQL and REST endpoints so headless / PWA Studio / Hyvä storefronts use the same semantic ranking
Multi-store-view and multi-website aware; respects store scope and catalog permissions
Configurable embedding provider and API key, with an option to self-host the model for data-residency requirements
Graceful fallback to Magento native search if the embedding service is unreachable
Works on Magento Open Source and Adobe Commerce; compatible with Elasticsearch/OpenSearch indexing already in place

مبني حسب الطلب، ننجزه بالكامل لك

لا إعداد يدوي — تطبيق جاهز يبنيه ويثبّته ويدعمه ECOSIRE.

  1. 1

    تطلب

    ابدأ بسعر بناء لمرة واحدة. نحدّد النطاق معك عند الانطلاق.

  2. 2

    نبني ونثبّت

    يقوم ECOSIRE ببنائه وتهيئته وتثبيته على Magento 2 الخاص بك.

  3. 3

    الإطلاق + الدعم

    تنطلق خلال أسبوع عمل واحد تقريبًا، مع أسبوعين من الدعم بعد التشغيل. نصلح عيوب الكود الذي نسلّمه مجانًا.

عن هذا المنتج

Magento 2's native fulltext search (MySQL or, on Adobe Commerce, Elasticsearch/OpenSearch) matches literal keywords and tokens. A shopper who types "warm jacket for hiking in the rain" gets nothing useful, and your zero-result and bounce rates climb on exactly the queries that signal high purchase intent.

AI Semantic / NLP Search is a custom Magento 2 module ECOSIRE builds and installs under app/code/Ecosire/SemanticSearch. It generates vector embeddings (OpenAI or a self-hosted model) for your catalog and ranks results by semantic meaning, not string overlap. It plugs into Magento's search the right way — a plugin/interceptor around the search results provider plus an observer on catalog_product_save_after to keep embeddings fresh, with a cron job for bulk re-indexing — so it survives upgrades and respects your existing theme and layout.

Because every Magento install differs (Open Source vs Adobe Commerce, your attribute set, your search UI, your catalog size, your data-residency rules), this is build-to-order, not a one-click Marketplace download. After purchase we run a short scoping call, build against your version and infrastructure, install on your staging environment, validate relevance with your real catalog, then deploy to production with you.

What you get: semantic relevance ranking, natural-language query understanding with typo tolerance, automatic synonym/intent detection, a search-analytics and zero-result dashboard behind Magento admin ACL, and configurable relevance weighting per attribute (name, description, brand, category) exposed in Stores → Configuration. Embeddings are also reachable via GraphQL/REST so headless and PWA Studio storefronts work too. We do not claim a magic uplift number — results depend on your catalog and traffic, and we measure against your own zero-result baseline.

ما تحصل عليه

  • Custom Magento 2 module installed under app/code/Ecosire/SemanticSearch (or supplied as a Composer package for your deploy pipeline)
  • di.xml, plugins, observer and cron wiring; full source code with no encryption or license lock-in beyond the ECOSIRE build agreement
  • Admin configuration section under Stores → Configuration with per-attribute weighting and embedding-provider settings, gated by admin ACL
  • Search analytics + zero-result reporting dashboard in the Magento admin
  • GraphQL/REST API extensions for headless and PWA storefronts
  • Installation on your staging environment, relevance validation against your real catalog, then supervised production deployment
  • Setup and admin-usage documentation plus a short handover walkthrough
  • Post-launch warranty window and a support/maintenance option for ongoing updates and Magento version compatibility

لمن هذا

Large-catalog conversion lead

Owns on-site search KPIs for a 10k+ SKU store where a large share of revenue comes from search. Wants to cut zero-result queries and capture long-tail, natural-language intent without hand-maintaining synonym files.

Magento technical lead / solution architect

Needs a clean, upgrade-safe integration — plugins and observers, not core rewrites — that fits their CI/CD, supports Adobe Commerce, and exposes search via GraphQL for their headless storefront.

Merchandising / category manager

Lives in the admin and wants to tune which attributes matter most for relevance and see exactly which searches return nothing, so they can fix catalog gaps and improve findability.

كيف يقارن AI Semantic / NLP Search.

المعيارECOSIREبناء مخصصمنافسMagento 2 الأصلي
Embedding-based semantic relevance (understands meaning, not just keywords)متضمنةدعم جزئيدعم جزئيغير متضمنة
Natural-language query + typo/misspelling tolerance out of the boxمتضمنةدعم جزئيمتضمنةدعم جزئي
Automatic synonym/intent detection without manual synonym listsمتضمنةدعم جزئيدعم جزئيغير متضمنة
Built, installed and validated on YOUR Magento by the vendorمتضمنةدعم جزئيغير متضمنةغير متضمنة
Configurable per-attribute relevance weighting in admin (ACL-gated)متضمنةدعم جزئيدعم جزئيدعم جزئي
Zero-result + search analytics dashboard in Magento adminمتضمنةدعم جزئيمتضمنةغير متضمنة
GraphQL/REST exposure for headless / PWA Studio storefrontsمتضمنةدعم جزئيدعم جزئيمتضمنة
Self-hosted embedding option for data residencyمتضمنةدعم جزئيغير متضمنةغير متضمنة
Instant download with no build waitغير متضمنةغير متضمنةمتضمنةمتضمنة
No recurring third-party SaaS subscription requiredدعم جزئيمتضمنةغير متضمنةمتضمنة

الأسئلة المتداولة حول AI Semantic / NLP Search

How long does delivery take, and what's the process?

Typical lead time is one working week from the scoping call, depending on your catalog size, Magento edition, and infrastructure. The flow is: short scoping call → build against your exact version → install and validate on your staging environment with your real catalog → supervised production deployment. We confirm a firm timeline in writing before any work starts. This is build-to-order — there is no instant Marketplace download.

Do you provide ongoing support and updates after launch?

Yes. Every build includes a post-launch warranty window to fix any defects at no charge. Beyond that we offer an optional support and maintenance plan covering Magento/Adobe Commerce version-compatibility updates, embedding-provider changes, relevance tuning, and bug fixes. You own the full source code, so you are never locked to us — but most merchants keep us on for upgrades.

Does this work on both Magento Open Source and Adobe Commerce?

Yes. The module integrates through standard extension points (plugins/interceptors, observers, service contracts) that exist in both editions. It coexists with your existing Elasticsearch/OpenSearch indexing rather than replacing your infrastructure. We confirm your exact version and search engine during scoping and build to match.

What does the AI cost to run, and where does my catalog data go?

Embeddings can use a hosted provider like OpenAI (you supply the API key; ongoing cost depends on catalog size and re-index frequency) or a self-hosted open model if you have data-residency requirements that keep everything inside your own infrastructure. Indexing cost is mostly one-time per product change; per-query embedding cost is small. We size and explain the expected cost during scoping.

Will this break on the next Magento upgrade?

It's built to avoid that. There are no core-file edits — integration is via di.xml, plugins, an observer on catalog_product_save_after, and a cron job. If the embedding service is ever unreachable, search gracefully falls back to Magento's native results so the storefront never goes dark. Major-version upgrades may still need a compatibility pass, which the support plan covers.

طلب عرض سعر

AI Semantic / NLP Search

An AI embedding-based semantic search module for Magento 2 / Adobe Commerce that understands natural-language shopper intent — built, installed and supported by ECOSIRE on your store.

  • AI embedding-based semantic relevance ranking (OpenAI or self-hosted model) that scores products by meaning, not keyword overlap
  • Natural-language query understanding with built-in typo and misspelling tolerance
  • Automatic synonym and shopper-intent detection — no manual synonym lists to maintain
  • Search analytics and zero-result reporting dashboard behind Magento admin ACL

طلب عرض سعر

أخبرنا باحتياجاتك من AI Semantic / NLP Search وسنرسل لك الأسعار وخيارات الترخيص وعرضًا مخصصًا، عادةً خلال يوم عمل واحد.

لا حاجة للدفع الآن. يؤدي هذا إلى إرسال طلب عرض سعر إلى فريقنا — وسنتواصل معك عبر البريد الإلكتروني بالأسعار والخطوات التالية.