Semantic Search Development
Replace keyword search with AI semantic search that understands meaning and intent. Custom vector search built for your product or content, launched in 2–3 weeks.
What You Need to Know
Traditional keyword search fails when users phrase things differently than your content. Semantic search matches on meaning, dramatically improving relevance for product catalogs, documentation, and knowledge bases.
We build the full pipeline: chunking and embedding your content, a vector database, and hybrid search that blends semantic and keyword signals with re-ranking for the best of both.
The result is fast, relevant search with features like natural-language queries, filters, and 'more like this': integrated into your existing product UI or content site.
We measure search quality with real queries and tune relevance, so the upgrade is demonstrable rather than a black box.
Introduction
Semantic search uses AI embeddings to understand the meaning behind a query, not just keywords, so users find the right result even when their wording doesn't match your content exactly. We build it into your product or site.
What You'll Get
Semantic Search Engine
Meaning-based search integrated into your product or site.
Vector Pipeline
Chunking, embeddings, and a scalable vector database.
Hybrid Search & Re-Ranking
Blends semantic and keyword signals for top relevance.
Natural-Language Queries
Users search how they think, with filters and 'more like this'.
Relevance Tuning
Measured and tuned against your real queries.
Why Choose Us
- Ship a production-ready build in 2–3 weeks, not 2–3 quarters: fixed scope, fixed timeline.
- Senior AI engineers only; you talk directly to the people writing the code, with no account-manager layer.
- You own 100% of the code, models, prompts, and infrastructure from day one: no lock-in.
- Transparent fixed-price packages with a clear scope document before any work starts.
Pricing/Packages Table
Benchmarked for Global. Final quote depends on scope, integrations, and launch timeline.
| Package | Price Range (USD) | Includes |
|---|---|---|
| Starter | $8k–$16k | Semantic search over a defined content set, integrated |
| Growth | $16k–$30k | Hybrid search with re-ranking, filters, and tuning |
| Scale | From $35k | Large-scale or multi-source search platform |
Better search relevance directly lifts conversion, engagement, and self-serve resolution by helping users find what they need.
Planning a build like this?
Book a free 30-minute strategy call with Diyanshu Patel, our CEO. We use it to understand your idea, goals and requirements, then follow up with a timeline and a fixed-price proposal.
Book a free 30-minute callFAQ
What is semantic search?
Search that uses AI embeddings to understand the meaning and intent of a query, returning relevant results even when the wording doesn't match your content's keywords.
How is it better than keyword search?
It handles synonyms, paraphrasing, and intent, so users find the right result regardless of exact wording, dramatically improving relevance for catalogs, docs, and knowledge bases.
Do you combine semantic and keyword search?
Yes, we use hybrid search with re-ranking, which blends semantic understanding with keyword precision for the best overall relevance.
Can it scale to large content sets?
Yes. We use scalable vector databases and efficient pipelines that handle large catalogs and document collections with fast response times.
How long does it take to build?
Semantic search over a defined content set integrates in 2–3 weeks; large-scale or multi-source platforms take longer in proportion to data.
Do I own the search system?
Yes: the pipeline, vector database, and code run on your infrastructure and accounts, with no per-query platform lock-in.
Book a free strategy call: https://speedmvps.com/contact
Book a free 30-minute callTrusted by Global Companies Building AI Products
We've helped startups and enterprises worldwide transform their AI ideas into production-ready MVPs in 2–3 weeks. From fintech platforms to AI assistants, our global MVP development services have launched 18+ AI products serving users across the US, Europe, and Asia.
Portfolio: AI Products Built for Global Startups
From content platforms and AI assistants to analytics dashboards and fintech solutions: see how we've transformed ideas into production-ready MVPs in 2-3 weeks across diverse industries. Each product here is one our team worked on.
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Ready to Build Your MVP?
Schedule a complimentary strategy session. Transform your concept into a market-ready MVP within 2-3 weeks. Partner with us to accelerate your product launch and scale your startup globally.
The call is 30 minutes with Diyanshu Patel, our CEO and co-founder. Afterwards you get a written proposal with timeline, pricing and development plan.
Calendar not loading? Open the booking page or email diyanshu@speedmvps.com.