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
577 B
TypeScript
17 lines
577 B
TypeScript
import type { BotExtension } from "@/src/types";
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/**
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* An MCP server, tool, skill or knowledgebase as one select value (`mcp:3`), and back.
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*/
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export function extensionOptionValue({ kind, id }: { kind: BotExtension["kind"]; id: number }) {
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return `${kind}:${id}`;
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}
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export function parseExtensionOptionValue({ value }: { value: string }) {
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const [kind, id] = value.split(":");
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if ((kind != "mcp" && kind != "tool" && kind != "skill" && kind != "knowledgebase") || !Number(id)) return null;
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return { kind: kind as BotExtension["kind"], id: Number(id) };
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}
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