Hi Bubble builders ![]()
We have just released a native Semantic Search plugin for Bubble that allows you to build fast, configurable, and intelligent search experiences without using AI embeddings, vector databases, or external search services.
This plugin is implemented as a pure native Bubble plugin and runs entirely using structured text indexing and relevance scoring—making it predictable, debuggable, and cost-effective.
What makes this plugin different?
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No AI embeddings -
No vector stores -
No external databases or services -
Native Bubble server-side plugin -
Works directly on your Bubble data
It’s ideal if you want semantic-style matching and relevance tuning without the complexity, latency, or cost of embedding-based search.
Key Features
You can fine-tune search behavior using built-in configuration options such as:
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Match threshold control
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Stemming
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Safe fuzzy matching
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Phonetic matching
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Consonant-pattern matching
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Synonyms
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Autocomplete boost
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Relevance ranking & smart relevance tuning
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Filtering support
You simply pass:
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A search phrase
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A list of items to search
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The fields to search on
The plugin returns matched IDs, scores, content, terms, performance metrics, and more.
Try the Live Demo
You can test different search phrases and see how the tuning options affect relevance in real time.
Get the Plugin
Feedback & Support
This plugin is actively maintained. If you run into edge cases, unexpected matches, or need help fine-tuning it for your use case, feel free to reach out. I’m also available to help with integration, configuration, and optimization for production apps.
Happy to answer questions or take feature requests below ![]()
JAGTECH