Semantic Search API

Search that understands what people mean

Users type in their own words and still find the right result, in 100+ languages.

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100 free credits on sign up. No card required.

movie about a man who can fly
Try:

Superman: The Complete Story

A boy from another planet grows up with the power of flight.

The Rocketeer

A stunt pilot finds a jet pack and takes to the skies.

Peter Pan

A boy who never grows up flies children to Neverland.

Search quality

Results that make sense. Even when the query is vague, misspelled or in another language.

Different words, same meaning. “Affordable running shoes” finds budget sneakers and cheap trainers.

affordable running shoes

Budget sneakers for daily runs

Cheap trainers under $60

Best value road running shoes

Typos still work. Small spelling mistakes don't end in empty results.

wireles hedphones

Wireless Headphones, Noise Cancelling

Any language in, any language out. A Korean query finds an English document.

Korean 가성비 노트북

English Best budget laptops of the year

1 Semantic search

Let people search how they talk. Mix in keyword matching when exact terms matter.

Long, chatty queries work. So do short, vague ones.

something warm for a winter hikegift for a dad who cooksquiet laptop for an officehow do I reset my password

Product codes and names still match. Keyword search runs alongside.

iPhone 15 Pro caseSKU 48213RTX 4070Nike Pegasus 41

One query, both kinds of matches. Meaning and exact terms ranked together.

Query: “iPhone 15 Pro case”

iPhone 15 Pro Silicone Case with MagSafe

Protective cover for iPhone 15 Pro Max

Clear MagSafe Case, iPhone 15 Pro

2 Why it matters

Keyword search fails when users don't guess the exact words.

Same query, two results

Keyword search matches words like “affordable” and “laptop”. Vecstore matches what the person actually wants.

affordable laptop for school

Keyword search

Affordable Laptop Stand

School Laptop Policy

Laptop Sleeve, Affordable Neoprene

Vecstore

Best Budget Laptops for Students

Cheap Notebooks for College

Student Laptop Buying Guide

Help centers

cant log in

Reset your password

Online stores

shoes for flat feet

Stability running shoes

Internal docs

who approves expenses

Expense policy, 2025

3 Multilingual

One index, every language. Users search in theirs, you store content in yours.

Search across languages. A query in one finds documents in another.

us budget laptop
kr 가성비 노트북
de günstiger Laptop

No setup per language. Same API, same index, nothing to configure.

100+

Supported languages include

EnglishEnglish
KoreanKorean
GermanGerman
JapaneseJapanese
FrenchFrench
SpanishSpanish
ChineseChinese
RussianRussian
PortuguesePortuguese
ArabicArabic
ItalianItalian
TurkishTurkish
and many more

Semantic search questions

What is a semantic search API?

It finds results by meaning instead of exact words, so "cheap running shoes" matches "budget sneakers". You send a query and get ranked results back.

What can I search with it?

Any text you add: product catalogs, help docs, articles, support tickets or user posts.

Do I need an embedding model or a vector database?

No. Vecstore runs the models and the vector database for you. You call one API.

How fast is it?

In our tests on 10 million records, a search took 3-4ms. Turning the query into a vector adds about 20ms.

Better search for your product without the engineering overhead.

3–4ms average search latency

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