AI Semantic / NLP Search

Características clave

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

Hecho a medida, listo para ti

Sin configuración por tu cuenta: una app funcional creada, instalada y con soporte de ECOSIRE.

Haces el pedido

Empieza con un precio único de desarrollo. Definimos el alcance contigo en el arranque.

Creamos e instalamos

ECOSIRE la crea, la configura y la instala en tu Magento 2.

En marcha + soporte

Sales en vivo en unas 2–4 semanas, con un periodo de soporte posterior al lanzamiento.

Sobre este producto

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.

lo que obtienes

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

¿Para quién es esto?

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.

Cómo se compara AI Semantic / NLP Search

Criterio	ECOSIRE	Construcción personalizada	Competidor
Embedding-based semantic relevance (understands meaning, not just keywords)	Incluido	Apoyo parcial	Apoyo parcial
Natural-language query + typo/misspelling tolerance out of the box	Incluido	Apoyo parcial	Incluido
Automatic synonym/intent detection without manual synonym lists	Incluido	Apoyo parcial	Apoyo parcial
Built, installed and validated on YOUR Magento by the vendor	Incluido	Apoyo parcial	No incluido
Configurable per-attribute relevance weighting in admin (ACL-gated)	Incluido	Apoyo parcial	Apoyo parcial
Zero-result + search analytics dashboard in Magento admin	Incluido	Apoyo parcial	Incluido
GraphQL/REST exposure for headless / PWA Studio storefronts	Incluido	Apoyo parcial	Apoyo parcial
Self-hosted embedding option for data residency	Incluido	Apoyo parcial	No incluido
Instant download with no build wait	No incluido	No incluido	Incluido
No recurring third-party SaaS subscription required	Apoyo parcial	Incluido	No incluido

Preguntas frecuentes sobre AI Semantic / NLP Search

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

Typical lead time is 2 to 4 weeks 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.