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In-App Search

Semantic Search for Apps and Documentation

Replace keyword search with semantic understanding. Moss finds answers based on meaning, not just matching words. Runs on your infrastructure, offline-capable, sub-10ms.

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Why won't my upload finish?
Searching by meaning...

<10ms

query response time

100%

offline capable

0

external data transfers

Replace keyword search with semantic understanding.

Moss finds answers based on meaning, not just matching words. Runs on your infrastructure, offline-capable, sub-10ms.

The Problem

Keyword search fails your users

Your users search for "how do I reset my password" and keyword search returns nothing because your docs say "credential recovery." Traditional search requires exact term matches. Semantic search understands meaning. But most semantic search solutions require sending your documentation and user queries to a third-party cloud service. For internal knowledge bases with proprietary information, that is a security risk you do not need to take.

Your users search for "how do I reset my password" and keyword search returns nothing because your docs say "credential recovery." Traditional search requires exact term matches. Semantic search understands meaning. But most semantic search solutions require sending your documentation and user queries to a third-party cloud service. For internal knowledge bases with proprietary information, that is a security risk you do not need to take.

How Moss Solves This

1

Search by meaning, not keywords

Moss uses vector embeddings to understand the semantic meaning of queries. Users find answers even when they use different words than your documentation.

2

Runs on your infrastructure

Deploy on your servers, in the browser, or on-device. Your documentation and user queries never leave your controlled environment.

3

Works offline

Once the index is loaded, all queries run in-memory. No network connection required. Ideal for internal tools, field service apps, and airgapped environments.

Ship real-time retrieval in minutes

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from moss import MossClient

client = MossClient(PROJECT_ID, PROJECT_KEY)

docs = [{ "text": "How do I track my order?" }]

await client.add_docs("my-index", docs)

Frequently asked questions

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Moss gives you production-ready semantic retrieval without infrastructure complexity.

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