I will build an ai semantic search engine by vector search, embeddings, and clip model

W
wasamkhann
W
wasamkhann
Wasam Khan

About this gig

Do you want a search system that understands meaning, not just keywords?

I build advanced AI semantic search engines using vector embeddings, CLIP models, and LLM-powered retrieval systems perfect for documents, images, e-commerce, knowledge bases, or custom databases.

Unlike normal search, semantic search finds results based on context, similarity, and intent.

No more exact matches users get truly intelligent, relevant responses.

If you're looking to bring Google-level search intelligence to your application, you're in the right place.


What I Can Build for You

Semantic document search

Image search (CLIP-based similarity search)

Product search for e-commerce

Knowledge-base / FAQ semantic search

Multi-modal search (text image, image text)

Embeddings-based search (OpenAI, SentenceTransformers)

Vector database setup (Pinecone, Chroma, Weaviate, Milvus)

RAG-based search systems

Next.js + Python-backed search interfaces

API endpoints for integration into any web app

Respect third-party rights

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Get to know Wasam Khan

Wasam Khan

Full Stack Engineer

  • FromPakistan
  • Member sinceSep 2021
  • Languages

    English
I’m a Full Stack Developer specializing in intelligent, scalable web applications using Next.js, React, Node.js, TypeScript, MongoDB, and SQL. I build high-quality dashboards, APIs, and full systems with strong UI/UX and clean architecture. I also integrate AI features like LLMs, embeddings, and automation workflows to create smarter, more efficient applications. I focus on performance, reliability, and delivering production-ready solutions.

My Portfolio