feat(ai-chat): show RAG indexing coverage in AI settings
Display "Indexed N of M pages" on the AI provider settings page so admins
can see how much of the wiki is covered by vector-RAG semantic search.
- page-embedding.repo: add countIndexedPages() — distinct non-deleted pages
that have stored embeddings in the workspace
- page.repo: add countByWorkspace() — total non-deleted pages
- ai-settings.service: compute both counts in getMasked() (Promise.all) and
return them with the masked settings; inject PageEmbeddingRepo + PageRepo
- MaskedAiSettings / IAiSettings: add indexedPages + totalPages
- ai-provider-settings: render a dimmed coverage line under "Embedding model"
- i18n: add the "Indexed {{indexed}} of {{total}} pages" key (en-US, ru-RU)
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@@ -157,4 +157,28 @@ export class PageEmbeddingRepo {
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distance: Number(row.distance),
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}));
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}
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/**
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* Count DISTINCT non-deleted pages that have at least one embedding row in this
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* workspace — i.e. how many pages currently have stored embeddings.
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*
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* NOTE: this counts pages embedded by ANY model dimension, whereas
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* `searchByEmbedding` only serves rows matching the active model's dimension.
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* After switching the embedding model, this number can therefore exceed the
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* set of pages actually reachable by search until those pages are re-indexed.
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* It is an indexing-coverage indicator, not an exact searchable-page count.
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*/
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async countIndexedPages(workspaceId: string): Promise<number> {
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const row = await this.db
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.selectFrom('pageEmbeddings as pe')
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.innerJoin('pages as p', 'p.id', 'pe.pageId')
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.where('pe.workspaceId', '=', workspaceId)
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// Exclude trashed pages and any soft-deleted embedding rows (defence in
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// depth: embeddings are hard-deleted, so pe.deletedAt is normally null).
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.where('p.deletedAt', 'is', null)
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.where('pe.deletedAt', 'is', null)
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.select((eb) => eb.fn.count('pe.pageId').distinct().as('count'))
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.executeTakeFirst();
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return Number(row?.count ?? 0);
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}
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}
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