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]>
37 lines
1.2 KiB
TypeScript
37 lines
1.2 KiB
TypeScript
import type { BotExtensionKind, BotExtensionsPayload } from "@/src/types";
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import { extensionOptionValue, parseExtensionOptionValue } from "@/src/utils/extension-option-value";
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import extensionNoun from "@/src/utils/extension-noun";
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import InlineAddSelect from "./inline-add-select";
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type Props = {
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id: string;
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addable: BotExtensionsPayload["addable"];
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loading?: boolean;
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onAdd: (params: { kind: BotExtensionKind; id: number }) => void;
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/**
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* What the picker offers, for its placeholder.
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*/
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noun?: string;
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};
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/**
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* Picks an MCP server, tool, skill or knowledgebase to give a bot.
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*/
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export default function ExtensionAddSelect({ id, addable, loading, onAdd, noun = "tool, MCP server or skill" }: Props) {
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return (
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<InlineAddSelect
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id={id}
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noun={noun}
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options={addable.map((item) => ({
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value: extensionOptionValue(item),
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title: `${extensionNoun({ kind: item.kind })}: ${item.name}`,
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}))}
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loading={loading}
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onAdd={({ value }) => {
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const picked = parseExtensionOptionValue({ value });
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if (picked) onAdd(picked);
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}}
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/>
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);
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}
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