Biblos supports semantic Bible search and layered analysis through a GitHub project.
MediaWiki Code2Code Search
MediaWiki Code2Code Search uses semantic retrieval to find functions, types and templates across MediaWiki source code.

About MediaWiki Code2Code Search
MediaWiki Code2Code Search is a web tool that uses AI-powered semantic neural retrieval, built with Sentence-Transformers, to find functions, types and templates across MediaWiki source code. Users can enter a code snippet and run example evaluation queries that cover several languages, including cases that map a function in one language to comparable code in others.
Search results can be narrowed by repository group, programming language and result type. The homepage does not state pricing, account requirements, or how submitted code is stored or processed.
Key features
- Semantic neural search across MediaWiki source code
- Code snippet input for finding matching code
- Filter by repository group, such as Core, Libraries or Deployed
- Filter by one of 12 listed programming languages
- Filter results by function, type or template
- Built-in example evaluation queries to try the search
- Filters for repository group, language and result type narrow results
- Includes example queries so users can test the search before using their own code
MediaWiki Code2Code Search at a glance
- Category
- AI & Machine Learning › AI Search & Research
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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MediaWiki Code2Code Search FAQ
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