tbenandClaude Opus 5.5
e7b23b7454
Knowledgebases give bots RAG over documents, scoped like extensions: to particular bots, to a workspace, or to every bot, with their own button beside Tools in the composer. Documents are chunked and embedded by the file-ingest worker with the install's embedding model, which is now an install-wide setting rather than a per-bot one. - Word search runs on an FTS5 index ranked by BM25, with a scored LIKE fallback for scripts written without spaces. - Changing the embedding model re-indexes documents automatically. - Ingest jobs wait without spending attempts while every embedding model rests, fail at once on errors retrying can't fix, and keep passages searchable by words when the model refuses. - Settings > Knowledgebases shows each knowledgebase's and document's index state: spinner, warning, grey check (words only) or green check. Co-Authored-By: Claude Opus 5.5 <[email protected]>
25 lines
744 B
TypeScript
25 lines
744 B
TypeScript
type Params = {
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/**
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* Where the passage is from, e.g. "Product handbook / pricing.md".
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*/
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source: string;
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document_id: number;
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/**
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* Where in the document, e.g. "passage 3".
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*/
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at: string;
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text: string;
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};
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/**
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* One knowledgebase passage for a bot to read, fenced so nothing inside it
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* reads as the app's own words.
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*/
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export default function knowledgebasePassageBlock({ source, document_id, at, text }: Params) {
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const body = text.trim();
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const longest_run = Math.max(0, ...(body.match(/`+/g) || []).map((run) => run.length));
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const fence = "`".repeat(Math.max(3, longest_run + 1));
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return [`From ${source} (document ${document_id}, ${at}):`, fence, body, fence].join("\n");
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}
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