产品详细信息以英文显示。翻译即将推出。
速览
- 价格
- $499.00 USD
- magento_2 版本
- —
- 设置时间
- 30分钟
- 许可证
- 一次永久
- 语言
- 11 语言
一次性购买
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.
$499.00USD
现在无需付款。此操作会向我们的团队发送报价请求——我们会通过邮件跟进价格和后续步骤。
核心功能
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
关于此产品
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.
为什么选择 AI Semantic / NLP Search
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.
你得到什么
- 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
这是给谁的
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.
安装概述
从ECOSIRE下载
在 ecosire.com 上购买许可证并从您的帐户仪表板下载 AI Semantic / NLP Search 模块 ZIP。
上传至Odoo
将 ZIP 解压到服务器上的 Odoo 自定义插件文件夹中（或通过“应用程序”>“从 Odoo.sh / runbot 上的文件安装”上传）。
安装模块
激活开发者模式，打开应用程序，单击更新应用程序列表，搜索 AI Semantic / NLP Search，然后按安装。
配置设置
打开新菜单，粘贴您的 ECOSIRE 许可证密钥，连接任何外部凭据（Shopify、Amazon、Stripe 等），然后保存。
验证并上线
运行内置连接测试，同步前 10 条记录，并安排定期 cron。如果出现任何问题，请联系支持人员。
AI Semantic / NLP Search 如何比较
| 标准 | 伊科西尔 | 定制建造 | 竞争对手 | 奥杜本机 |
|---|---|---|---|---|
| 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 |
关于AI Semantic / NLP Search的常见问题
+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.
为什么客户信任 ECOSIRE
SOC 2 对齐
符合 GDPR
安全条纹支付
30 天退款
终身更新
LGPL-3.0 许可证
申请报价
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