What the data for this category looks like
The data for telecommunications equipment financing daily reports comes from public bidding platforms, official disclosure documents of equipment manufacturers, and industry monitoring databases. It updates daily, releasing data related to bids, centralized procurement, and financing from the previous working day on the same day. Each individual data entry uses a structured table format, including fields such as equipment model, winning bid unit price, winning bid quantity, project location, and release date. Unit price is measured in yuan per unit, quantity in units, amount in ten thousand yuan, and the date format follows YYYY-MM-DD uniformly.
Constraints imposed on knowledge base retrieval and recall
The daily update requirement means the knowledge base incremental sync mechanism must support pulling updates by release date. This avoids full repeated imports and unnecessary storage usage. The large number of structured fields and non-standardized equipment model names requires the retrieval link to support both field-level exact matching and fuzzy matching, balancing retrieval accuracy and coverage. Individual data entries are short, but total volume fluctuates with industry cycles. Limiting the number of recalled entries avoids redundant results. The date field is a core retrieval condition, so it must support precise filtering by time range, while filtering invalid cross-date range recall results.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
RECALL_TOP_K | Top 10 entries | Telecommunications equipment financing daily report entries are short but total volume fluctuates with industry cycles. Top 10 entries can cover core retrieval results and avoid redundant output |
SIMILARITY_THRESHOLD | 0.72–0.78 | There are many structured fields, so the ratio of exact matching to fuzzy recall must be balanced to avoid mixing in low-relevance results |
PARSE_CHUNK_SIZE | 800–1200 characters | Individual daily report entries are short. Too long chunks will split field associations, while too short chunks will increase retrieval overhead |
ENABLE_INCREMENTAL_SYNC | Enabled | Daily reports are updated each day. Incremental sync reduces repeated import time and storage usage |
FIELD_WEIGHT_CONFIG | Release date weight 0.3, unit price weight 0.4, model weight 0.3 | Unit price and model are core retrieval dimensions in financing scenarios, while date is used to filter time-sensitive data |
UPLOAD_FILE_MAX_SIZE | 500 MB | Structured table files for single daily report batch imports are typical. 500 MB covers monthly batch import requirements |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Retrieval result ranking is abnormal, such as a result with a full-text retrieval score of 1.2717 ranking lower than a result with a score of 0.5208. Cause: Field-level weights are not configured, and only global similarity scores are relied on, causing core information in structured fields to not be prioritized for weighting.
- Phenomenon: Excel format files cannot be imported, and CSV imports only support two columns of data. Cause: Multi-column support configuration for structured file parsing is not enabled, or the header format of the uploaded file does not comply with the platform's preset structured parsing rules.
- Phenomenon: Unable to select a knowledge base in a specified folder during retrieval. Cause: Folder permission grouping for the knowledge base is not configured, or the retrieval scope is not bound to the specified folder ID.
How to confirm configurations are correctly set
- Run an incremental sync test, upload newly added daily report data for the current day, and confirm that only newly added data is imported, with no repeated imports of historical data.
- Enter a search term containing an equipment model and date, and verify that the ranking of recalled results complies with the preset field weight rules.
- Upload an Excel format daily report file, and confirm that the file is correctly parsed into structured knowledge base entries with no fields missing.
- Enable the original text return configuration, search for preset question-answer pairs, and confirm that returned results match the original text stored in the knowledge base.
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.