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.
Client Signals
- "Went from idea to a live AI product our investors could try in 18 days."
- "The fixed-price quote came in under what a single in-house hire would have cost."
- "Clean, documented codebase our own team could pick up immediately after handoff."
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.
FAQ
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
Trusted 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 launched successfully, serving users globally.
UseArticle
AI-powered content creation and management platform that helps teams produce high-quality articles at scale.
AgentHi
Intelligent virtual assistant that streamlines customer support and automates routine business tasks.
StatsHub
Comprehensive analytics dashboard providing real-time insights and data visualization for businesses.
Harimaxx
Personal fitness companion with AI-driven workout plans and nutrition tracking for optimal health.
Vaga
Smart travel planning app that curates personalized itineraries and local experiences.
FoodScan
Nutrition analysis app that scans food items and provides detailed nutritional information instantly.
MyJobReach
Job matching platform connecting talented professionals with their dream opportunities.
TravelGram
Social platform for travelers to share experiences, discover destinations, and connect globally.
SuperStatz
Advanced sports statistics platform delivering in-depth analysis and performance metrics.
Cashbook
Simple expense tracking and budgeting app that helps users manage their finances effortlessly.
TypeFast
Typing speed improvement platform with gamified lessons and real-time performance tracking.
Easy Loan
Streamlined loan management system that simplifies borrowing and lending processes.
Explore Related Content
Discover more services, case studies, and insights
AI-Powered MVP Development
Launch a production-ready AI MVP in just 2-3 weeks. Our team blends rapid prototyping with enterprise-grade AI/ML engineering to validate your idea, attract investors, and win early customers.
Integrate AI into Existing Software
Seamlessly integrate AI capabilities into your existing software systems. We enhance your current applications with intelligent features, automation, and AI-powered insights while maintaining system stability.
The AI Startup Roadmap: From Idea to Funded Product (2026)
A phased AI startup roadmap for 2026: validate the problem, find your wedge, ship an MVP in weeks, build a feedback loop, hit the traction bar investors expect, and raise pre-seed or seed in a hard AI funding climate.
How to Choose an AI Development Agency: 2026 Checklist
A practical 2026 checklist for choosing an AI development agency: how to vet LLM portfolios, demand production (not demo) experience, compare fixed vs T&M pricing, secure code ownership, and spot red flags.
The Fintech Fortress: How a 3-Week AI MVP Detected Billions in Fraud Without Breaching a Single Data Wall
A digital citadel: rapid, unbreachable, and utterly adaptive AI MVP with zero-trust architecture, federated learning, and compliance-first design.
Diagnosing the Future: How a 2-Week AI MVP Revolutionized Radiology Image Analysis for Medivance with Cutting-Edge Federated Learning
2-week AI MVP employing federated learning—training AI models locally at each site without transferring sensitive data externally, with automated lesion detection and HIPAA-compliant decentralized processing.
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.