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]>
17 lines
482 B
TypeScript
17 lines
482 B
TypeScript
type Params = {
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file: File;
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};
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/**
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* A picked file as a data URL, for an upload. Empty when the browser can't
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* read it.
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*/
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export default async function readFileDataUrl({ file }: Params) {
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return await new Promise<string>((resolve, reject) => {
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const reader = new FileReader();
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reader.onload = () => resolve(String(reader.result || ""));
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reader.onerror = () => reject(reader.error);
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reader.readAsDataURL(file);
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}).catch(() => "");
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}
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