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fix(rag-worker): use deterministic embedding point ids to avoid orphaned duplicate vectors #622

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fix(rag-worker): use deterministic embedding point ids to avoid orphaned duplicate vectors #622

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24fc677
refactor(rag-worker): add deterministic embedding point id helper
serhiizghama Jun 14, 2026
0199b4b
fix(rag-worker): use deterministic embedding point ids to avoid dupli…
serhiizghama Jun 14, 2026
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27 changes: 24 additions & 3 deletions apps/rowboat/app/scripts/rag-worker.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -61,6 +61,27 @@ async function retryable<T>(fn: () => Promise<T>, maxAttempts: number = 3): Prom
}
}

// Fixed namespace for deriving deterministic Qdrant point IDs (RFC 4122 v5).
const EMBEDDING_ID_NAMESPACE = 'a4d1f3e2-7b6c-5a4d-9e8f-1c2b3a4d5e6f';

/**
* Derives a stable, deterministic point ID for an embedding from its document
* id and chunk index. Re-processing the same document chunk (e.g. when a job is
* retried after the Qdrant upsert succeeded but a later step failed) produces
* the same id, so the upsert overwrites the existing point instead of inserting
* a duplicate. Returns a valid UUID, as required by `EmbeddingRecord.id`.
*/
function embeddingPointId(docId: string, chunkIndex: number): string {
const namespace = Buffer.from(EMBEDDING_ID_NAMESPACE.replace(/-/g, ''), 'hex');
const name = Buffer.from(`${docId}-chunk-${chunkIndex}`, 'utf8');
const hash = crypto.createHash('sha1').update(namespace).update(name).digest();
const bytes = hash.subarray(0, 16);
bytes[6] = (bytes[6] & 0x0f) | 0x50; // version 5
bytes[8] = (bytes[8] & 0x3f) | 0x80; // RFC 4122 variant
const hex = bytes.toString('hex');
return `${hex.slice(0, 8)}-${hex.slice(8, 12)}-${hex.slice(12, 16)}-${hex.slice(16, 20)}-${hex.slice(20)}`;
}

async function runProcessFilePipeline(_logger: PrefixLogger, usageTracker: UsageTracker, job: z.infer<typeof DataSource>, doc: z.infer<typeof DataSourceDoc>) {
if (doc.data.type !== 'file_local' && doc.data.type !== 'file_s3') {
throw new Error("Invalid data source type");
Expand Down Expand Up @@ -153,7 +174,7 @@ async function runProcessFilePipeline(_logger: PrefixLogger, usageTracker: Usage
// store embeddings in qdrant
logger.log("Storing embeddings in Qdrant");
const points: z.infer<typeof EmbeddingRecord>[] = embeddings.map((embedding, i) => ({
id: crypto.randomUUID(),
id: embeddingPointId(doc.id, i),
vector: embedding,
payload: {
projectId: job.projectId,
Expand Down Expand Up @@ -222,7 +243,7 @@ async function runScrapePipeline(_logger: PrefixLogger, usageTracker: UsageTrack
// store embeddings in qdrant
logger.log("Storing embeddings in Qdrant");
const points: z.infer<typeof EmbeddingRecord>[] = embeddings.map((embedding, i) => ({
id: crypto.randomUUID(),
id: embeddingPointId(doc.id, i),
vector: embedding,
payload: {
projectId: job.projectId,
Expand Down Expand Up @@ -274,7 +295,7 @@ async function runProcessTextPipeline(_logger: PrefixLogger, usageTracker: Usage
// store embeddings in qdrant
logger.log("Storing embeddings in Qdrant");
const points: z.infer<typeof EmbeddingRecord>[] = embeddings.map((embedding, i) => ({
id: crypto.randomUUID(),
id: embeddingPointId(doc.id, i),
vector: embedding,
payload: {
projectId: job.projectId,
Expand Down