{"record":{"id":"88ced1a9cd98c3cb","repo":"Crosstalk-Solutions/project-nomad","slug":"error-during-re-embed-all","errorCode":null,"errorMessage":"Error during re-embed all","messagePattern":"Error during re-embed all","errorType":"http","errorClass":null,"httpStatus":500,"severity":"error","filePath":"admin/app/controllers/rag_controller.ts","lineNumber":197,"sourceCode":"  }\n\n  public async scanAndSync({ response }: HttpContext) {\n    try {\n      const syncResult = await this.ragService.scanAndSyncStorage()\n      return response.status(200).json(syncResult)\n    } catch (error) {\n      logger.error({ err: error }, '[RagController] Error scanning and syncing storage')\n      return response.status(500).json({ error: 'Error scanning and syncing storage' })\n    }\n  }\n\n  public async reembedAll({ response }: HttpContext) {\n    try {\n      const result = await this.ragService.reembedAll()\n      return response.status(200).json(result)\n    } catch (error) {\n      logger.error({ err: error }, '[RagController] Error during re-embed all')\n      return response.status(500).json({ error: 'Error during re-embed all' })\n    }\n  }\n\n  public async resetAndRebuild({ response }: HttpContext) {\n    try {\n      const result = await this.ragService.resetAndRebuild()\n      return response.status(200).json(result)\n    } catch (error) {\n      logger.error({ err: error }, '[RagController] Error during reset and rebuild')\n      return response.status(500).json({ error: 'Error during reset and rebuild' })\n    }\n  }\n\n  public async health({ response }: HttpContext) {\n    const result = await this.ragService.checkQdrantHealth()\n    return response.status(200).json(result)\n  }\n","sourceCodeStart":179,"sourceCodeEnd":215,"githubUrl":"https://github.com/Crosstalk-Solutions/project-nomad/blob/0bd1c6f4f9888d577fe232de06ac144bb8337131/admin/app/controllers/rag_controller.ts#L179-L215","documentation":"Catch-all 500: ragService.reembedAll() threw while re-embedding every document (embedding API failures, Qdrant write errors, or DB iteration errors).","triggerScenarios":"Embedding provider (OpenAI/local embedder) unreachable, out of quota, or rate-limited; Qdrant write failure; invalid embedding dimension vs collection config.","commonSituations":"Missing/expired EMBEDDINGS_API_KEY; embedding model changed so vector dims no longer match the Qdrant collection; rate limits on a large corpus; Qdrant container restarted mid-run.","solutions":["Check embedding provider credentials and connectivity first.","Confirm embedding model/dimensions match the existing Qdrant collection config.","Check server logs for the exact thrown error.","If dims changed, recreate the collection (resetAndRebuild) or point to the correct model."],"exampleFix":null,"handlingStrategy":"retry","validationCode":"await embeddingProvider.ping() // verify provider reachable\nawait qdrantHealth()","typeGuard":null,"tryCatchPattern":"for (let i = 0; i < 3; i++) { try { await reembedAll(); break } catch (e) { await sleep(backoff(i)) } }","preventionTips":["Verify embedding credentials before bulk jobs","Pin embedding model to avoid dimension drift","Rate-limit requests for large corpora"],"tags":["embeddings","rag","qdrant"],"backgroundTag":"embedding-pipeline-failed","analyzedSha":"0bd1c6f4f9888d577fe232de06ac144bb8337131","analyzedAt":"2026-08-27T05:34:15.424Z","schemaVersion":2},"datasetVersion":"2026-08-27T08:17:20.692Z"}