What the Data for This Category Looks Like
Auto service investment research data primarily comes from industry association monthly reports, manufacturer quarterly financial reports, terminal after-sales maintenance ledgers, policy and regulatory documents, and public opinion data. The data update cadence covers three categories: real-time (after-sales public opinion, terminal sales), monthly (industry statistics), and quarterly (manufacturer operating data). Document formats include multi-page PDF industry analysis reports, policy files with embedded structured tables, and Excel ledgers containing vehicle model codes and accessory unit prices. Fields include vehicle model codes, maintenance man-hours, accessory unit prices, regional codes, and more. Units include yuan, hours, vehicle service counts, and others.
Constraints Imposed on Document Parsing and Chunking
Auto service investment research data contains a large number of structured tables and cross-page long texts. The parsing link must distinguish between structured and unstructured content, and avoid breaking table content into unrelated plain text. Documents with multiple update frequencies must support switching between incremental parsing and full parsing, to avoid repeated processing of historical data. The strong association between fields and units requires the chunking link to retain the binding relationship between fields and their corresponding values, and not lose unit information. Cross-page industry analysis content must retain contextual coherence, and avoid chunk breaks that disrupt investment research logic.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Auto service investment research data contains a large number of structured tables (accessory price lists, sales statistics). Enabling this option preserves cell association relationships |
chunk_size | 800–1200 characters | Auto service documents contain long industry analysis sections and short-field data. This range balances contextual completeness and retrieval accuracy |
chunk_overlap | 100–150 characters | Cross-page industry report data needs to retain contextual coherence, and avoid chunk breaks that disrupt investment research logic |
PARSE_EXCEL_SHEET_SELECT | Specify valid worksheets | Excel files often contain hidden test sheets. Only extracting business worksheets reduces invalid data |
PARSE_PDF_TIMEOUT | 300 seconds | Large auto industry PDF reports have many pages. Sufficient parsing time is required to avoid mid-process interruptions |
SIMILARITY_THRESHOLD | 0.75–0.85 | Auto service investment research data has high requirements for field accuracy. Filters low-similarity retrieval results |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on samples specific to the intended deployment before finalizing settings.
Three Common Mistakes
- Symptom: After uploading an Excel table, the knowledge base fails to recognize field values, and queries return empty results. Cause: The Excel parsing switch is not enabled, or valid worksheets are not specified, resulting in only blank hidden sheet data being extracted.
- Symptom: After uploading multiple PDFs, only some documents are parsed, and the workflow execution reports an error. Cause:
PARSE_PDF_TIMEOUTis not set to a reasonable duration, and large industry reports are interrupted due to parsing timeout. - Symptom: Question answering accuracy is low, and returned content is unrelated to the query. Cause: Chunk length is set too small, splitting cross-page industry analysis context, or table parsing is not enabled, resulting in structured data being broken into meaningless text.
How to Confirm Proper Configuration
- Upload a single typical auto service document (such as a single-page accessory price list, a 10-page industry report), and check the parsed chunk preview to confirm that table content is not broken into plain text.
- Run a test query, enter "after-sales accessory unit prices for a certain vehicle model", and check whether the retrieval results include corresponding fields and values.
- Check the task log to confirm that parsing time does not exceed the threshold set by
PARSE_PDF_TIMEOUT, and there are no timeout error prompts. - Upload multiple documents in different formats (PDF, Excel), and confirm that all files are successfully added to the knowledge base with no upload failure prompts.
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.