How Search Works

Overview

Search on AIDIRECTORY uses a hybrid approach - we run traditional keyword matching and AI-powered semantic search at the same time, then merge the results. The idea is simple: keywords are great when you know exactly what you're looking for, but semantic and natural language search catches the AI tools you'd miss otherwise. Our system keeps an eye on search quality to make sure results stay relevant.

How It Works

When you type a query, two things happen in parallel:

1. Keyword search - We match your query against product names, taglines, and descriptions. Fast, reliable, always available.
2. Semantic search - Your query gets converted into a vector embedding (a numerical fingerprint of its meaning), and we compare it against every product's embedding to find semantically similar matches.

Results from both are merged and ranked:

• Exact name matches always float to the top.
• Semantic matches are ranked by how similar they are to your query.
• Keyword-only matches fill the remaining slots.
• Duplicates are automatically removed.

Example

Searching for "generate images from text" will surface AI tools related to image generation and text-to-image - even if they don't contain those exact words anywhere in their listing.

Search Quotas

Every semantic search query hits an embedding API, so we have daily usage limits:

When you've used up your quota:

• Search automatically falls back to keyword-only results - still fully functional, just without the semantic layer.
• You'll see a message letting you know, with a suggestion to sign in (for guests) or that you've hit your daily cap (for logged-in users).
• Your quota resets every 24 hours.

Fallback Behaviour

If the embedding API is ever unavailable (timeout, error, or anything unexpected), search gracefully falls back to keyword-only results. You won't see an error - it just works, minus the semantic layer. Our system monitors for these fallbacks to make sure they're rare.