Add knowledgebases
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]>
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@@ -1,18 +1,27 @@
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import BunSQLite from "@moduletrace/bun-sqlite";
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import type { BUN_SQLITE_COBBLE_FILE_INGEST_QUEUE } from "@/db/types/db";
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import ingestBotFile from "@/src/functions/backend/db/bot-files/ingest-bot-file";
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import ingestKnowledgebaseDocument from "@/src/functions/backend/db/knowledgebases/ingest-knowledgebase-document";
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import { logError } from "@/src/functions/backend/logger";
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import settleFailedIngestJob from "./settle-failed-ingest-job";
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type Params = {
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job: BUN_SQLITE_COBBLE_FILE_INGEST_QUEUE;
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};
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/**
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* Ingests one queued file and completes (or fails) its job. A file that
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* was deleted meanwhile is simply done.
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* Ingests one queued file (or knowledgebase document) and completes (or
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* fails) its job. One that was deleted meanwhile is simply done.
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*/
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export default async function processIngestJob({ job }: Params) {
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if (!job.id || !job.file_id) return;
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if (!job.id) return;
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if (job.document_id) return await processDocumentJob({ job_id: job.id, document_id: job.document_id });
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if (!job.file_id) {
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await BunSQLite.queue.complete({ table: "file_ingest_queue", id: job.id }).catch(() => {});
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return;
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}
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try {
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const result = await ingestBotFile({ file_id: job.file_id });
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@@ -26,11 +35,9 @@ export default async function processIngestJob({ job }: Params) {
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}).catch(() => {});
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}
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} catch (error) {
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const message = error instanceof Error ? error.message : String(error);
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const { deferred } = await settleFailedIngestJob({ job_id: job.id, error });
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await BunSQLite.queue
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.fail({ table: "file_ingest_queue", id: job.id, error: message.slice(0, 500) })
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.catch(() => {});
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if (deferred) return;
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await logError({
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title: `Bot file #${job.file_id} couldn't be ingested`,
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@@ -39,3 +46,20 @@ export default async function processIngestJob({ job }: Params) {
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}).catch(() => {});
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}
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}
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async function processDocumentJob({ job_id, document_id }: { job_id: number; document_id: number }) {
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try {
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await ingestKnowledgebaseDocument({ document_id });
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await BunSQLite.queue.complete({ table: "file_ingest_queue", id: job_id });
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} catch (error) {
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const { deferred } = await settleFailedIngestJob({ job_id, error });
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if (deferred) return;
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await logError({
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title: `Knowledgebase document #${document_id} couldn't be ingested`,
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error,
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metadata: { document_id },
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}).catch(() => {});
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}
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}
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