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. One-time license from $499.00 USD for Magento 2 / Adobe Commerce (build-to-order) — includes 12 months of updates and support.

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.
No payment now. This sends a quote request to our team — we'll follow up by email with pricing and next steps.
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 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
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.
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.
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.
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.
Buy the license on ecosire.com and download the AI Semantic / NLP Search module ZIP from your account dashboard.
Extract the ZIP into your Odoo custom addons folder on the server (or upload via Apps > Install from file on Odoo.sh / runbot).
Activate Developer Mode, open Apps, click Update Apps List, search for AI Semantic / NLP Search, and press Install.
Open the new menu, paste your ECOSIRE license key, connect any external credentials (Shopify, Amazon, Stripe, etc.), and save.
Run the built-in connection test, sync your first 10 records, and schedule the recurring cron. Contact support if anything fails.
| Criterion | ECOSIRE | Custom Build | Competitor | Odoo Native |
|---|---|---|---|---|
| Embedding-based semantic relevance (understands meaning, not just keywords) | ||||
| Natural-language query + typo/misspelling tolerance out of the box | ||||
| Automatic synonym/intent detection without manual synonym lists | ||||
| Built, installed and validated on YOUR Magento by the vendor | ||||
| Configurable per-attribute relevance weighting in admin (ACL-gated) | ||||
| Zero-result + search analytics dashboard in Magento admin | ||||
| GraphQL/REST exposure for headless / PWA Studio storefronts | ||||
| Self-hosted embedding option for data residency | ||||
| Instant download with no build wait | ||||
| No recurring third-party SaaS subscription required |
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.
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.
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.
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.
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.
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.