framework-learning

You can get grounded answers by crawling a framework documentation site from a seed URL, building a lightweight index, and retrieving the top pages as clean markdown with source links. This avoids API setup and returns deterministic outputs.

The best way to search framework documentation locally is to build a searchable index of crawled pages and rank them using BM25. This surfaces the most relevant pages for your question and fetches only the top-k results.

BM25 ranking works by scoring indexed page titles, headings, and snippets against your question. It calculates relevance to surface the top-k pages, which are then fetched and converted to markdown for grounded answers.

Yes, you can crawl and index any framework documentation site by providing a valid seed URL. The skill builds a lightweight index of the domain's pages to prepare for question-based retrieval.

You can convert documentation pages to clean markdown by crawling a docs domain, ranking pages via BM25, and fetching the top-k pages. The selected pages are converted with source links for grounded answers.

BM25 relies on keyword matching rather than semantic understanding, which can limit retrieval accuracy for complex questions. However, it provides fast, deterministic page ranking from a lightweight crawled index without requiring embedding models.