Multi-turn Dialogue and Prompt Engineering for Refractory Materials Financing Daily Reports

Data sources are public industrial and commercial registration systems and financing disclosure announcements from industry information platforms.

What the Data for This Category Looks Like

Data sources are public industrial and commercial registration systems and financing disclosure announcements from industry information platforms. Update frequency is daily. Documents are structured single entries, containing fields such as financing entity name, financing round, financing amount, investor, financing completion date, associated business category, registered address, etc. The unit for the amount field is ten thousand yuan or hundred million yuan in RMB. The date field format is YYYY-MM-DD. Single document structure is concise, with no complex nested content.

Constraints on Multi-turn Dialogue and Prompt Engineering

The daily update requirement means multi-turn dialogue must support quick filtering by date dimension. Prompts must include preset input guidance for date parameters to prevent retrieval of expired data. The large number of structured fields means multi-turn dialogue must guide users to clearly specify individual fields, reducing errors from fuzzy retrieval. The unit differences in the amount field require prompts to uniformly specify output units to avoid confusion. The concise single document structure means the recall phase must control the number of returned entries to avoid redundant information interfering with current dialogue logic.

How to Configure Settings

Configuration ItemRecommended Value RangeRationale
recallCountTop 8–12 entriesThe single-document structure of refractory materials financing daily reports is concise. Too many recalled entries will introduce redundant information, while too few will fail to cover relevant financing events
similarityThreshold0.72–0.80Structured field matching requires a relatively high similarity threshold to avoid recalling financing entries from non-refractory material categories
rerankTopNTop 3–5 entriesOnly the most relevant financing events must be retained to avoid information overload during multi-turn dialogue
parseChunkSize300–500 charactersThe structured length of single financing daily report documents, after splitting, can retain complete field information
maxContext6000 charactersMulti-turn dialogue must retain recent user questions and recall results to avoid context overflow
dialogueHistoryMaxTurnsTop 3–5 turnsFinancing daily report dialogues are mostly single or short-term queries. Excessively long history will interfere with current retrieval logic

The parameter values provided on this page are all conventional recommendations used to determine the starting point 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 Misconfigurations

  • Phenomenon: A 500 error is returned when importing batch refractory materials financing daily report documents. Cause: The bge model deployed via ollama has an incorrectly configured vector database storage path, or the document format does not match the input preprocessing rules of the model.
  • Phenomenon: The returned financing daily report content is truncated during multi-turn dialogue, and complete fields cannot be displayed. Cause: The maxContext configuration value is too small, or the model output length limit has not been adjusted.
  • Phenomenon: The financing amount units returned during multi-turn dialogue are mixed, with both ten thousand yuan and hundred million yuan appearing. Cause: The prompt does not clearly specify a unified amount unit requirement, or the recalled documents contain non-standardized unit fields.

How to Verify Proper Configuration

  • Upload a single refractory materials financing daily report document, check the knowledge base parsing results, confirm that all required fields are retained in segments, and adjust relevant configurations to match the document structure.
  • Initiate a multi-turn dialogue, specify financing date and round category in sequence for questioning, verify that the recalled entries match the query conditions, and adjust the similarity threshold and number of recalled entries to optimize results.
  • Check the dialogue history records, confirm that content exceeding the set number of turns is automatically truncated, and adjust the dialogue history retention turn configuration to adapt to the dialogue scenario.
  • Import batch refractory materials financing daily report documents, check for abnormal error reports, and verify the model deployment and vector storage connection configurations.

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.