বৰ্ণনা
Similo uses AI embeddings to find and display semantically related posts — articles that are actually about the same topic, even if they don’t share tags or categories.
Built for professional blogs with hundreds of posts: law firms, consultancies, academic publishers, and anyone whose readers deserve better content discovery.
How it works
- When a post is published, Similo generates an AI embedding of its content
- When a reader views a post, Similo compares embeddings to find the most similar articles
- The most relevant posts are displayed as “Further Reading” at the bottom of each article
Why it’s different
Most related post plugins match by tags or categories. Similo understands meaning — so a post about GDPR enforcement and a post about data privacy fines will be connected, even if they were never tagged the same way.
Requirements
- No API key needed — embeddings are handled via Similo’s external service.
External Services
This plugin sends post content to an external server to generate AI embeddings for related post detection.
What data is sent: Post title and content (text only)
When: When a post is published or updated
Service: lecto-server.fly.dev
ইনষ্টলেশ্যন
- Upload the plugin folder to
/wp-content/plugins/ - Activate the plugin through the Plugins menu in WordPress
- Go to Tools Similo and click Generate All Embeddings to index your existing posts.
- Further Reading will automatically appear at the bottom of each post.
সঘনাই উত্থাপিত প্ৰশ্ন
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Which AI model does Similo use?
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Similo uses OpenAI’s
text-embedding-3-small— a fast, affordable embedding model. -
Does it slow down my site?
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No. Embeddings are generated once when a post is saved, not on every page load.
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What similarity threshold does Similo use?
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Posts with a cosine similarity score above 0.7 are shown. This keeps results relevant and avoids noise.
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Up to 5 by default.
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Go to Tools Similo and click Generate All Embeddings to index your existing posts.
পৰ্য্যালোচনা
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সলনি-পঞ্জী
0.1.0
- Initial release