What the data for this category looks like
Data is primarily sourced from publicly disclosed annual, semi-annual, and quarterly financial reports of solid waste treatment enterprises, plus structured export files from internal operation ledgers. Update frequency varies by enterprise disclosure cycles and operation data dimensions. Standard updates for core financial report content occur quarterly, semi-annually, and annually. Operation ledger data is updated daily or monthly. Financial report documents include modules such as consolidated financial statements, business segment details, and project operation notes. Structurally exported CSV files contain multi-dimensional fields including disposal volume, revenue, costs, and equipment investment. Disposal volume uses tons or cubic meters as its unit. Revenue, costs, and equipment investment use ten thousand RMB as their unit.
Constraints imposed on vector models and indexing
The multi-source, multi-update-frequency, and multi-field-unit characteristics of solid waste treatment financial reports and operation data create multiple constraints for the vector models and indexing process. Public financial reports have inconsistent formats, including scanned documents and editable files. Adaptable parsing logic is required to extract valid text and prevent invalid fragments from being added to the vector database. Multiple update cycles require indexes to support incremental updates. New content is filtered using data generation timestamps to avoid resource costs from full reindexing. Multi-dimensional fields include numerical values and text with different units. Numerical fields must be normalized prior to vector encoding to ensure balanced feature weights across dimensions. Individual documents have wide length ranges and include business sub-modules. Segmentation must retain business relevance to avoid splitting core business information such as segment revenue and disposal volume.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Solid waste treatment financial report PDFs contain multiple pages of business notes. Parsing time is significantly higher than general documents. |
CHUNK_SIZE | 800–1200 characters | Financial reports have many long paragraphs. This segmentation length retains business context and adapts to the input limits of most vector models. |
SIMILARITY_THRESHOLD | 0.75–0.85 | Solid waste treatment business fields have high correlation. This threshold filters irrelevant recall results while retaining core business matching results. |
UPLOAD_BATCH_SIZE | 500–1000 items/batch | Adapts to batch uploads of 100,000-level CSV operation data and avoids memory overflow during index construction. |
INCREMENTAL_SYNC_ENABLED | Enabled | Solid waste treatment operation data is updated daily or monthly. Incremental synchronization significantly reduces resource consumption from index reconstruction. |
EMBEDDING_MODEL | Calibrated based on actual testing | Different vector models have varying encoding effects on structured financial report text. Validation must be completed based on the specific business scenario. |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: After uploading a single solid waste treatment financial report PDF, the vectorization progress stalls beyond the preset timeout period. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. The default timeout duration is insufficient to parse multi-page business note documents. - Symptom: After uploading 100,000-level solid waste treatment operation CSV data, the total number of vectors stored in the database is less than the number of source data entries. Cause: The
UPLOAD_BATCH_SIZEparameter was not configured. Batch uploads did not filter null value fields. Some invalid data missing disposal volume or revenue was automatically skipped. - Symptom: The collection creation shows success, but the page index status always displays "Not Ready". Cause:
INCREMENTAL_SYNC_ENABLEDwas not enabled. Full index construction was not completed in the background due to large data volume, and the front-end status was not updated synchronously.
How to confirm configurations are properly set
- Upload a single typical solid waste treatment financial report PDF, view the parsed text fragments, and confirm that business fields are not split.
- Upload 100,000-level CSV operation data, compare the total stored vectors with the number of source data entries, and confirm there is no abnormal missing data.
- View the vector index backend logs, confirm that incremental synchronization tasks are triggered based on data update timestamps, and no abnormal logs of full reindexing appear.
- Test similarity recall results, adjust
SIMILARITY_THRESHOLDto a value suitable for the business scenario, and verify the relevance of recall results.
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.