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Semantic Search

Semantic Search & AI Q&A

People rarely type the exact words your content uses. I build semantic search and AI answers based on your own content, inside a new application, added to an existing one after an audit, or plugged into your CMS.

Plan your search
See examples
0
Industries with delivered projects
0
Ways to deploy: new app, existing app, CMS
0
Pipeline steps: index, embed, rank, answer

Why Work With Me

I bring more than code to the table. Here is what makes working with me different from typical agencies.

40%
faster delivery

Lightning Fast Delivery

I use modern frameworks and proven workflows to deliver projects 40% faster than traditional agencies without compromising quality.

100%
TypeScript coverage

Battle-Tested Code

Every line of code is written with TypeScript, follows best practices, and includes automated tests for reliability.

< 24h
response time

Always Responsive

Direct communication with me - no account managers, no delays. Get answers within hours, not days.

95%
client retention

Long-term Partnership

I don't disappear after launch. I stay for maintenance, updates, and continuous improvements of your product.

7
industry awards for the platform

Search Already Running in Production

At Gaia Lens I shipped Algolia search and an LLM Q&A over documents for institutional investors. Relevance, speed and cost there were judged by paying users.

5
industries with delivered projects

Industry Context Built In

E-commerce and marketplaces, automotive, InsurTech, FinTech and SaaS: I've built products in each of these sectors and know what their users search for.

What I Build

Content Indexing

Products, documents, articles, tickets or policies are gathered from your database, CMS or files and kept in sync, so search always reflects current content.

Embeddings & Vector Search

Content is turned into embeddings so a query like "cheap family car with a big boot" finds the right results even when none of those exact words appear in them.

Hybrid Ranking

Semantic similarity mixed with plain keyword matching, filters and business rules like stock, margin or recency. The most similar result isn't always the one you want on top.

AI Answers With Sources

The user gets a direct answer built from your content, with links to the documents or products behind it. I used the same approach in the ChatPDF feature at Gaia Lens.

Read the Gaia Lens case study

Search Interface

Autocomplete, filters, highlighted matches and, where it helps, a chat-style mode. Built to match the rest of your product.

New App, Existing App or CMS

Built into a new product from the start, added to an existing application after a technical audit, or integrated into a CMS such as PayloadCMS, Strapi or WordPress.

How We Work

Transparent Process

No black boxes. You know exactly what is happening at every stage.

01
Step 01

Audit & Search Goals

1 week

I look at your content, current search, the queries users actually type and the architecture of the app to decide how search should be built into it.

Query analysisContent inventoryArchitecture reviewSuccess metrics
02
Step 02

Indexing Pipeline

1-2 weeks

Building the pipeline that collects, cleans and embeds content, and keeps the index in sync when content changes.

Data connectorsEmbedding pipelineVector indexSync strategy
03
Step 03

Ranking & Interface

2-4 weeks

Tuning ranking on real queries, adding filters and business rules, and building the search UI and, where useful, AI answers with sources.

Hybrid rankingSearch UIAI answer modeRelevance test set
04
Step 04

Launch & Tuning

Ongoing

Launch with search analytics: queries without results, clicks and refinements show where ranking or content needs to improve.

Search analyticsZero-result reportsRanking adjustmentsMonthly review

Semantic Search FAQ

Other services I offer

Explore my other services that might fit your needs

AI Integration
Custom AI solutions, chatbots, and intelligent automation for your business.
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E-commerce
Headless Shopify, Medusa.js, and custom storefronts with Stripe.
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AI Customer Support
AI assistants for chat, email and helpdesk: suggested replies, ticket triage and a website chatbot that hands over to a human.
Learn more
Web Applications
Modern, fast and scalable web applications using React and Next.js.
Learn more

Plan your search

People rarely type the exact words your content uses. I build semantic search and AI answers based on your own content, inside a new application, added to an existing one after an audit, or plugged into your CMS.

Plan your search
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