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Semantic AI Search

# Intelligent Search

Vector-based semantic search that understands intent, not just keywords. Keyspider bridges the vocabulary gap between how users ask questions and how your content is written — surfacing the right result even when exact terms don't match.

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Semantic understanding: intent-based, not just keyword matching
Handles natural language queries in plain English
Bridges vocabulary gaps across content libraries
Vector similarity matching across all indexed content
Works alongside full-text search for hybrid relevance
Handles abbreviations, synonyms, and industry terminology

## How it works

1

### Content is vectorized at index time

When Keyspider crawls your content, it generates vector embeddings for every page, document, and chunk — capturing the semantic meaning of the text.

2

### Query is matched by meaning

When a user searches, Keyspider encodes the query into the same vector space and retrieves content by semantic proximity, not just keyword overlap.

3

### Hybrid ranking combines signals

Semantic scores are combined with full-text BM25 ranking, recency, engagement signals, and any manual rules you've configured to produce the final result order.

## Use cases

### Government citizen portals

Citizens search for 'help paying my rates' and find the rates assistance programme — even though the page doesn't use the word 'help' or 'paying'.

### University knowledge bases

Students searching for 'when do classes start' find term dates and enrolment deadlines without needing to know the exact page title.

### Enterprise intranets

Staff find the right HR policy when searching in plain English, even across multi-brand or multi-language deployments.

### Support and documentation portals

Customers describing a problem in their own words are matched to the relevant troubleshooting article, reducing support ticket volume.

## Related

AI Summary
Instant Answers
AI Search platform

## Ready to give your users better answers?

AI Search, AI Assistant, and Workplace Search. Deployed in days, not months. See it live on your own content.

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