What the Data for This Category Looks Like
Data sources for kitchen and bath appliance financing daily reports include public corporate financing announcements, industry media financing update summaries, and disclosure documents from stock exchanges. Updates synchronize financing information disclosed on the same day daily. A full-category financing summary document for the current week is generated weekly. The structure of individual data documents includes financing entity name, affiliated kitchen and bath appliance sub-sector, financing amount, financing round, investors, disclosure date, and associated enterprise information. Field unit specifications: financing amount is measured in ten thousand yuan, financing round uses standard venture capital industry terminology, and disclosure date uses the YYYY-MM-DD format.
Constraints Imposed on Retrieval and Recall
The characteristics of kitchen and bath appliance financing daily reports impose multiple constraints on the retrieval and recall process. Dispersed multi-source data has inconsistent field formats, which reduces matching accuracy during standardized retrieval. The high-frequency daily update requirement requires the knowledge base incremental update process to match real-time needs. Otherwise, recalled information will lag behind the latest updates. The sub-sector field requires the retrieval logic to accurately bind track tags, avoiding the recall of irrelevant cross-category financing information. The fixed unit requirement for financing amounts requires format unification during document preprocessing. Otherwise, numerical retrieval will have deviations. Documents with varying lengths require adaptive chunking rules to prevent key information from being truncated in long documents.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Individual financing announcements for kitchen and bath appliances are approximately 300–500 words, and monthly summary documents are approximately 2000–3000 words. This chunk length preserves core fields such as complete financing entities, rounds, and investors, avoiding cross-chunk information loss |
chunk_overlap | 150–200 characters | Adjacent chunks must retain associated information when chunking long documents, preventing key cross-chunk information such as financing rounds and investors from being broken |
recall_top_k | Top 8–10 entries | The number of daily financing entries is moderate. This number of recalled entries covers core updates from the current day and the previous two days, avoiding excessive redundant information |
similarity_threshold | 0.72–0.80 | Precise matching of sub-sector tags and financing entity keywords is required. A threshold that is too low will mix in financing information from unrelated categories, while a threshold that is too high will miss financing updates from some associated entities |
parse_file_timeout | 120 seconds | Monthly summary documents have a large volume, so sufficient time must be reserved for parsing and chunking to avoid document import failure due to parsing timeout |
UPLOAD_FILE_MAX_SIZE | 50 MB | Monthly summary documents can reach up to 30 MB, reserving sufficient space to support batch import of multiple daily report documents |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and testing on internal samples is recommended before finalizing settings.
Three Common Configuration Mistakes
- The symptom is a "Request failed with status code 400" error when uploading kitchen and bath appliance financing daily report documents. The cause is that the document contains unescaped half-width parentheses, line breaks, and other special characters, or the field format does not meet the standardization requirements of knowledge base parsing.
- The symptom is incomplete information such as financing rounds and investors in retrieval results. The cause is that the chunk size is set too small, splitting complete financing entries into different chunks, making it impossible to associate complete content during recall.
- The symptom is high latency in knowledge base conversation responses. The cause is that the number of recalled entries is set too high and the chunk size is too large, causing the context loading volume to exceed the system processing limit.
How to Verify Correct Configuration
- Upload a single monthly summary document, check that the number of chunks displayed in the parsing backend matches the expected value, and confirm that the chunking parameter configurations are active.
- Enter a query containing kitchen and bath appliance sub-sector keywords, verify that all recalled results have matching sub-sector tags, and confirm that the similarity threshold and recall count configurations are active.
- Import the latest financing announcement document of the day, check whether the retrieval results of the updated knowledge base include the latest disclosed information, and confirm that the incremental update process configurations are active.
- View system logs to confirm that there are no errors such as document parsing timeouts or upload failures, and confirm that the timeout parameter and upload size limit configurations are active.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.