Knowledge Base Retrieval and Recall for Industrial Park Financing Daily Reports

Industrial park financing daily report data mainly comes from corporate financing filings from park investment promotion departments, daily report

What the data for this category looks like

Industrial park financing daily report data mainly comes from corporate financing filings from park investment promotion departments, daily report data from park operation systems, and corporate financing announcements from public channels. Update frequency is daily, covering all financing events of enterprises in the park from the previous day. Documents are mostly structured tables or standardized JSON format, with fields including enterprise name, affiliated park sector, financing round, financing amount, investor, financing time, dedicated service liaison, and others. Financing amount units are mostly ten thousand yuan or hundred million yuan. Some fields have inconsistent formatting.

Constraints imposed on knowledge base retrieval and recall

Multi-source data sources require the retrieval system to support cross-data source field alignment, to avoid duplicate or missed financing events from different channels. The daily update feature requires the retrieval pipeline to support incremental synchronization. Full parsing will consume excessive computing resources without incremental synchronization. The high proportion of structured fields means retrieval should prioritize matching core business fields instead of full-text broad search, to improve recall accuracy. Inconsistent field units require the preprocessing link to automatically complete amount unit standardization conversions, to prevent matching failures caused by unit differences.

How to set configurations

Configuration ItemRecommended ValueRationale
Recall countTop 10 resultsThe daily park financing daily report includes multiple financing events; 10 results cover the information needs of most retrieval scenarios
Similarity threshold0.72-0.80Core keywords of financing events have high recognizability; this range filters low-relevance financing content from non-park enterprises
RERANK_TOP_NTop 5 resultsThe re-ranking link balances accuracy and response speed; 5 results retain core matching content while reducing latency
PARSE_CHUNK_SIZE800-1200 charactersThe description length of individual financing events in the park financing daily report is moderate; this chunk size retains semantic integrity while avoiding overly long chunks
UPLOAD_INCREMENTAL_MODEEnable incremental uploadAdapts to the daily updated data source feature, avoids full parsing of duplicate content, and improves import efficiency
FIELD_MATCH_WEIGHTSet the weight of enterprise name and financing round to 0.3, and the weight of other fields to 0.2Prioritize matching core business fields such as park enterprises and financing rounds to improve retrieval accuracy

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: Retrieval returns only 1 cited result. Cause: Recall count is set to 1, which does not adapt to the multi-event retrieval needs of park financing daily reports.
  • Symptom: The knowledge base selection box is empty after importing park financing daily reports. Cause: In FastGPT 4.8.22, incremental upload mode is not enabled, or the uploaded file does not match the standardized structured format.
  • Symptom: Re-ranking function is marked as unavailable. Cause: Knowledge base question optimization is not enabled in the model plugin, or no valid value for RERANK_TOP_N is configured.

How to confirm configurations are set correctly

  • Upload a single park financing daily report document, check if the number of parsed chunks matches the setting of PARSE_CHUNK_SIZE.
  • Initiate a retrieval test that includes the enterprise name and financing round, check if the number of returned cited results matches the configuration of Recall count.
  • After enabling the re-ranking function, verify that the returned results are sorted according to keyword matching degree.
  • Initiate an incremental upload test, confirm that only the financing event documents of the current day are added, and there is no full duplicate import.

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.