What the data for this category looks like
Data for publishing financing daily reports comes from public financing announcements of publishing enterprises, industry regulatory disclosure documents, and public equity trading information, and is updated once daily. Each daily report uses a structured table format, with each row corresponding to an independent financing project. Fields include full name of financing entity, publishing sub-track, financing amount, financing round, core investor list, disclosure date, project location, and others. Financing amount units are uniformly ten thousand yuan or hundred million yuan. Date fields follow the YYYY-MM-DD standard format, with no extra redundant remarks.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The daily update requirement means the dialogue process must be linked to the real-time synchronized knowledge base version to avoid using outdated data. The structured table has multiple fields, so prompts must clearly define the core fields to recall, to prevent redundant output. The existence of duplicate-named financing entities requires supplementary conditions such as track and location during multi-turn dialogue to achieve accurate matching. The independence of individual project data means the dialogue context must retain the associated question context for a single project, to avoid confusion across projects.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | The structured table data for publishing financing daily reports has a moderate volume; 300 seconds is sufficient for complete parsing |
maxContext | 8000–12000 characters | Multi-turn dialogue needs to retain context information for multiple financing projects; this range avoids context overflow |
Recall Count | Top 6 entries | The number of financing projects in a single daily report typically ranges from 5 to 10; recalling 6 entries covers most query scenarios |
Similarity Threshold | 0.75–0.85 | It is necessary to distinguish different tracks and locations for duplicate-named entities; this range filters low-match irrelevant projects |
UPLOAD_FILE_MAX_SIZE | 20 MB | The structured table file for a single publishing financing daily report typically does not exceed 10 MB; this sets a reasonable upper limit |
Segment Length | 1000 characters | The row data length of structured tables is moderate; segmenting at 1000 characters retains complete project field information |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: The dialogue returns the error message "Unable to read this file" when calling knowledge base content. Cause: The file parsing timeout parameter is not configured correctly, or the uploaded file format is not identified as a structured table by the system.
- Phenomenon: Recalled financing projects do not match the query’s track or location, and the number of results exceeds expectations. Cause: A reasonable similarity threshold is not set, or the recall count is configured too high.
- Phenomenon: Cross-project queries in multi-turn dialogue result in context confusion, with answers linked to irrelevant projects from previous queries. Cause: The maxContext length is not restricted, causing old project context to overwrite associated information for the current query.
How to Verify Proper Configuration
- Upload a single publishing financing daily report file, check the system-parsed field list to confirm all core fields are correctly extracted.
- Submit the query "List today’s financing projects", verify that the number of recalled projects matches the actual number in the daily report, and adjust the recall count to match the scenario.
- Submit a query for a duplicate-named entity, such as "Beijing children’s publishing financing projects", verify that the recalled results include the specified track and location information, and adjust the similarity threshold to meet requirements.
- Submit 3 consecutive queries for different financing projects, confirm that each round of answers is based on the associated project of the current context, with no cross-project confusion.
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.