What the Data for This Category Looks Like
Aerospace equipment financial report data primarily comes from periodic reports, temporary announcements disclosed by listed companies, and public industry research reports. The update cadence follows fixed quarterly, semi-annual, and annual cycles, supplemented by immediate announcements such as major orders or capacity changes. Document structures include standardized financial statements, management business analysis, and core business metrics (e.g., delivery sorties, production capacity scale, order value). Fields cover currency units (ten thousand yuan, hundred million yuan), physical units (sorties, units, hours), and professional technical parameters. Most files are in PDF format or exported structured spreadsheet files.
Constraints Imposed on Vector Models and Indexing
The long-text business analysis modules, mixed structured and unstructured content, dense professional terminology, and multi-unit field features of aerospace equipment financial reports impose multiple constraints on the vector models and indexing workflow. Long text content requires appropriate segment lengths to retain semantic integrity and avoid truncating core business logic. Multi-unit fields need associated metadata indexing to prevent retrieval bias caused by lost unit information during vectorization. Scenarios with dense professional terminology require industry-customized vectorization models or supplementary term mapping rules. The mixed update cadence of fixed-cycle updates and immediate temporary announcements requires indexing to support flexible switching between incremental and full updates.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Business analysis paragraphs in aerospace equipment financial reports are lengthy. Segmentation must cover complete business logic units to avoid semantic fragmentation |
chunk_overlap | 100–150 characters | Retain contextual coherence after long text segmentation, ensuring semantic consistency after vectorization |
RECALL_TOP_K | Top 10–15 results | Core metrics of aerospace equipment financial reports are scattered across multiple paragraphs. A sufficient number of context fragments must be retrieved to support analysis |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single annual financial report PDF files have a large number of pages. The parsing and vectorization process takes a long time |
ENABLE_INCREMENTAL_INDEX | Enabled | Financial reports have fixed-cycle updates and immediate temporary announcements. Incremental indexing reduces repeated computation costs |
EMBEDDING_MODEL_NAME | bge-m3 | This model has strong semantic understanding of professional text, and is suitable for aerospace equipment industry terminology scenarios |
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 your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After adding ollama qwen2.5 and bge-m3 in the model management interface, the corresponding options do not appear in the text understanding model dropdown menu when creating a knowledge base. Cause: The knowledge base call permission for the corresponding model is not enabled in the system configuration, or the model deployment port is not exposed to the container network.
- Phenomenon: Indexing takes too long, triggering a
504 Gateway Timeouterror. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration is not adjusted, or a single financial report PDF has too many pages and segmented parallel processing is not enabled. - Phenomenon: Unit confusion occurs in the vectorized dataset, and retrieval results match incorrect currency or physical units. Cause: Metadata indexing configuration is not enabled, and field unit information is not retained during segmentation.
How to Confirm Proper Configuration
- Upload a single annual financial report PDF, check the number and length of segments in the parsing log to confirm they fall within the
chunk_sizeconfiguration range. - Verify that the added ollama qwen2.5 and bge-m3 models show a normal available status on the model management page, confirming the system has synchronized the model list.
- Initiate a small-scale retrieval test, input core aerospace equipment business keywords, and check whether the retrieval results include metadata information of corresponding fields.
- Submit an incremental indexing task, check whether the system only updates newly added financial report files and does not repeatedly process historical documents.
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.