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
565 B
TypeScript
17 lines
565 B
TypeScript
/**
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* How a knowledgebase document came in: an uploaded file, or text written
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* straight into the knowledgebase.
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*/
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export const KnowledgebaseDocumentSources = [
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{ title: "File", value: "file" },
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{ title: "Text", value: "text" },
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] as const;
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export type KnowledgebaseDocumentSource = (typeof KnowledgebaseDocumentSources)[number]["value"];
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/**
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* The tools a run gets when it reaches a knowledgebase.
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*/
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export const SearchKnowledgebaseToolName = "search_knowledgebase";
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export const ReadKnowledgebaseDocumentToolName = "read_knowledgebase_document";
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