What the data for this category looks like
Data sources for aerospace equipment financing daily reports include temporary disclosures from domestic and overseas stock exchanges, and daily financing summaries from third-party industry information platforms. Updates occur daily. Each document contains multiple that day’s aerospace equipment-related financing entries. The document structure is fixed, with fields including full financing entity name, aerospace equipment category (such as commercial airliners, aero engines, airborne systems), financing amount (units: RMB ten thousand, USD hundred million), financing method, disclosure announcement number, disclosure date, fund usage, and more. Each financing entry is an independent information unit, with no redundant cross-entry content.
What constraints these characteristics impose on knowledge base retrieval and recall
The multi-entry structure with daily updates requires preserving the integrity of individual financing information during chunking. Do not merge different financing entries into the same chunk, otherwise retrieval matching confusion will occur. Financing amounts with different units increase the complexity of semantic matching. Ensure that the retrieval process can associate units with their corresponding amounts. The fixed field structure supports precise field-based retrieval, but corresponding field indexing rules must be configured. When batch importing a large number of historical documents, control the parsing duration per document to avoid timeout failures. The daily update feature also requires retrieval to support quick filtering of entries by date range.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the chunking logic of version 4.8.10. A single financing entry is approximately 200-500 characters. Setting this length ensures that a single chunk contains 1 to 3 complete entries, avoids cross-entry chunking, and complies with model input length limits. |
| Similarity Threshold | 0.75–0.85 | Retrieval for aerospace equipment financing daily reports requires precise matching of core fields such as category and entity. This threshold filters irrelevant results while retaining relevant entries. |
| Number of Recalled Entries | Top 8–12 entries | A single daily report contains multiple that day’s financing information. This value covers all relevant content and avoids missing key entries. |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | When batch importing multiple historical financing daily reports, parsing large documents requires sufficient duration to avoid task failure due to parsing timeout. |
enable_duplicate_check | Enabled | Financing daily reports may contain duplicate disclosed financing entries. Enabling deduplication avoids recalling duplicate results. |
maxContext | 4000 characters | Merging recalled chunks retains sufficient context to generate accurate retrieval results, while complying with model input length limits. |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Three common errors
- Phenomenon: Retrieval results only return some relevant financing entries and fail to cover all expected content. Cause: The number of recalled entries is set too low, and insufficient chunk results are obtained.
- Phenomenon: Knowledge base parsing tasks return 504 timeout status codes. Cause: A single document contains too many overly long financing entries, and the
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted to a reasonable duration. - Phenomenon: Retrieval results include additional AI-generated content and do not strictly return original responses from the knowledge base. Cause: Precise matching configuration for question-answer pairs is not enabled, or the similarity threshold is set improperly, causing the model to introduce non-knowledge base content.
How to confirm the configuration is correct
- Upload a single historical aerospace equipment financing daily report, view the parsed chunk list, and confirm that each chunk corresponds to a single or closely related multiple financing entries, with no cross-unrelated entry chunking.
- Initiate a retrieval test, input a query containing an aerospace equipment category and financing date, and verify that the number of returned result entries matches expectations, with no obvious irrelevant content.
- Import batch historical documents, view task logs, confirm no parsing timeout errors, and adjust the
PARSE_FILE_TIMEOUT_SECONDSparameter based on actual elapsed time. - Enable the question-answer pair knowledge base import function, upload preset aerospace equipment financing question-answer pairs, and verify that retrieval results prioritize preset response content, with no additional generated content.
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.