Browse categories
Explore
Fiverr Pro
English
$
USD
I will build semantic ai search and product recommendations
Asad Rafique
About this gig
I will add intelligent search or recommendation capabilities to your marketplace, eCommerce platform, SaaS product or content application.
Users can search with natural language instead of relying only on exact keywords and manual filters. Depending on your data and business goals, I can combine keyword matching, metadata filters, embeddings, vector retrieval, business rules and reranking.
Possible features:
- Semantic product or content search
- Natural-language filter extraction
- Hybrid keyword and vector search
- Result reranking
- Zero-result recovery
- Similar item recommendations
- Rule-based and AI-assisted recommendations
- Search feedback and evaluation
- Application API and frontend integration
I can integrate the solution with Laravel, Shopify, custom marketplaces, eCommerce platforms or any system that provides suitable data and APIs. Search quality depends on catalogue data, attributes, user behaviour and relevance expectations. Message me with sample data, expected searches and current search technology before ordering.
Get to know Asad Rafique
Asad Rafique
Senior Laravel and AI Automation Engineer n8n APIs SaaS
- FromPakistan
- Member sinceNov 2012
- Avg. response time1 hour
- Last delivery8 months
Languages
Urdu, Punjabi, English, Hindi
Senior Laravel Developer & AI Automation Engineer with 9+ years of experience building SaaS platforms, APIs, dashboards, eCommerce systems, POS solutions, and business automation workflows. I help businesses automate operations using Laravel, n8n, AI agents, APIs, webhooks, queues, and cloud infrastructure. Experienced with WooCommerce, Shopify, Stripe, Cloudflare, VPS, CI/CD, and production-ready systems.
My Portfolio
FAQ
Is semantic search the same as a chatbot?
No. Semantic search returns relevant products, listings, documents or records based on meaning and context. A chatbot may be added separately but is not required.
Do I need a vector database?
Not always. I will recommend PostgreSQL/pgvector, Qdrant or a hybrid approach based on your dataset, filters, infrastructure and scale.
Can you improve my existing search?
Yes. I can assess your current keyword search, filters, zero-result queries and available data before proposing semantic or hybrid improvements.
Can you build personalized recommendations?
Yes, when suitable behaviour and product data are available. Early-stage systems may use a practical combination of rules, similarity, popularity and user signals instead of custom model training.
Do you guarantee an increase in sales?
No. I can improve search architecture and measure relevance, but sales also depend on catalogue quality, pricing, demand, UX and marketing. I do not make unsupported revenue guarantees.
