What the Data for This Category Looks Like
Data related to aerospace equipment yield rates comes from public bidding announcements for space launch missions, publicly disclosed operating revenue reports for on-orbit spacecraft, procurement cost ledgers for aerospace equipment, and spot trading data for the domestic aerospace industry chain. Updates follow a fixed daily schedule, with temporary updates added alongside major launch missions and industry chain price adjustment nodes. The document structure includes five modules: core task identifiers, cost breakdowns, revenue calculation dimensions, daily market fluctuations, and parameters for associated supporting components. Fields include task number, payload type, total single-task cost, total contract value, task execution cycle, supporting component model, and daily transaction quotation. Units are string, text, CNY, CNY, calendar day, text, and CNY per piece respectively.
Constraints on Multi-turn Dialogue and Prompt Engineering
The decentralized sources, high-frequency updates, and multi-module field structure of aerospace equipment yield rate data create multiple constraints for multi-turn dialogue and prompt engineering. First, the data includes two categories: publicly disclosed information and internal operating ledgers. Prompts must clearly define the range of callable data sources to avoid cross-permission calls. Second, updates occur daily and support temporary additions. Dialogue contexts must link to the most recently uploaded daily report documents to prevent the model from answering using outdated data. Third, the documents include multi-dimensional fields. Multi-turn dialogue must retain anchor fields such as task number and component model to ensure subsequent questions can accurately match corresponding data and avoid information confusion. Finally, some task data has time limits. Prompts must label the data update time nodes to help the model determine the reference basis for responses.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | A single aerospace equipment yield rate daily report document is typically 3000-8000 characters long. Multi-turn dialogue requires retaining more than 3 rounds of context. This range covers complete context and document fragments |
RECALL_TOP_K | Top 8–12 entries | Aerospace equipment data includes multi-dimensional fields. A sufficient number of retrieved document fragments must cover modules such as task costs, revenue calculations, and market fluctuations to avoid missing key information |
SIMILARITY_THRESHOLD | 0.75–0.85 | Fields such as task numbers and component models for aerospace equipment have high distinctiveness. A threshold that is too low will introduce irrelevant data fragments, while a threshold that is too high may miss relevant valid information |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | A single aerospace equipment daily report includes multi-dimensional structured data. Parsing requires a longer time to complete field splitting and vector index construction |
UPLOAD_FILE_MAX_SIZE | 20 MB | A complete monthly collection of aerospace equipment yield rate daily reports typically does not exceed 15 MB. This value reserves reasonable buffer space |
maxHistoryTurns | 5–7 turns | After more than 7 rounds of multi-turn dialogue, context redundancy increases, which will interfere with the model's accurate judgment of current questions. This range balances context completeness and inference efficiency |
The parameter values provided on this page are all conventional recommendations used as 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 Misconfigurations
- Symptom: An error "No available indexing model detected" pops up after refreshing the dialogue page, and model configuration and agent testing have already been completed. Cause: The vector index for aerospace equipment yield rate daily reports has not been bound to the corresponding dialogue agent, or the deployment status of the indexing model has not been synchronized to the page cache.
- Symptom: Historical dialogue cannot link to aerospace equipment daily report documents uploaded months ago, or returns empty data when calling historical dialogue. Cause: Persistent storage configuration for dialogue history and document indexes has not been enabled, or the validity period of document indexes is set too short, causing documents from months ago to be automatically cleaned up.
- Symptom: Single-turn dialogue response time exceeds 10 seconds, and no obvious errors occur during model calls. Cause: The values of
RECALL_TOP_KandSIMILARITY_THRESHOLDhave not been adjusted, and too many irrelevant aerospace equipment data fragments have been retrieved, leading to excessive model inference load.
How to Confirm Proper Configuration
- Access the configuration page of the dialogue agent, check whether the values of retrieval and similarity related configurations match the field recognizability and retrieval requirements of current aerospace equipment data, and confirm that the index of the most recently uploaded daily report document has been bound.
- Initiate a query that includes task numbers and cost breakdowns, verify that the information returned by the model matches the most recently uploaded daily report document, and does not include outdated or irrelevant data.
- Initiate multi-turn dialogue, submit 3-5 consecutive queries focused on the same aerospace task, confirm that the anchored task number in the context does not shift, and that the model can accurately link to corresponding data.
- Test the historical dialogue loading function, confirm that past sessions can be restored normally, and that the associated document indexes have not been automatically cleaned up.
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.