---
title: "Search & Elasticsearch Development: Kensink Labs"
description: "Relevant, fast search from a senior lab: Elasticsearch or Postgres full-text, right-sized to your data. Full source ownership."
source: "https://www.kensink.com/technologies/elasticsearch-search/"
canonical: "https://www.kensink.com/technologies/elasticsearch-search/"
---
★ Elasticsearch & Search Technologies & Infrastructure 8-week engagement

SEARCH · FULL-TEXT + RELEVANCE

# Production search. Relevance, facets, speed at scale.

Relevance, facets, typo tolerance, and speed. We build search on Elasticsearch when you need it, and on Postgres full-text when you do not.

Elasticsearch PostgreSQL Vector store

[Start a conversation →](https://www.kensink.com/contact) [All technologies →](https://www.kensink.com/technologies)

Cycle

8 weeks · fixed price

Stack

Elasticsearch

Output

Production code + eval suite

Handoff

Full source ownership

\[THE SHORT VERSION\]

## Treat search as a real product feature.

Good search comes down to relevance, not just matching strings: ranking, synonyms, facets, typo tolerance, and speed at scale. Elasticsearch (or OpenSearch) is the heavy hitter. For many products, Postgres full-text or pgvector is enough and far simpler, so we right-size the engine.

When it fits

-   Large catalogs needing relevance, facets, and speed
-   Search-heavy products where quality drives engagement
-   Hybrid keyword plus semantic search

When it does not

-   Small datasets where Postgres full-text suffices

\[HOW WE BUILD IT\]

## How we build with Elasticsearch & Search.

01

### Scope and fit

We decide where Elasticsearch & Search earns its place in your system, and where a simpler tool wins. No resume-driven architecture.

02

### Build on a tested foundation

We integrate Elasticsearch & Search against a foundation we trust: typed code, CI, and observability from the first commit. Boring infrastructure, modern surface.

03

### Eval before launch

An eval suite proves the build behaves before it reaches a user. We measure, then ship.

04

### Handoff with ownership

Your team gets the code, the tests, and a runbook. No lock-in to us or to a vendor framework.

\[ WHAT YOU GET \]

## What the engagement leaves behind.

Senior

Engineers who have shipped this before

100%

Source ownership at handoff

Eval-first

Tested before it ships

0

Framework lock-in

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[View .md](https://www.kensink.com/technologies/elasticsearch-search.md)

\[RELATED\]

## Worth a look next.

[

Technologies

PostgreSQL

Read more

](https://www.kensink.com/technologies/postgresql)[

Technologies

pgvector

Read more

](https://www.kensink.com/technologies/pgvector)[

Technologies

Cloudflare Workers

Read more

](https://www.kensink.com/technologies/cloudflare-workers)

APPLIED K-FRAMEWORK

## Bring the problem.  
We’ll bring the build.

Senior engineers, eval suite at handoff, full source ownership. Sprint, program, or ongoing. We shape the engagement to the work.

[Start a conversation →](https://www.kensink.com/contact) [Read the K-Framework](https://www.kensink.com/k-framework)