What this category’s data looks like
Data sources include orbital resource filing and public announcements from domestic and international satellite operators, commercial satellite launch service bidding announcements, public financing disclosures from satellite manufacturing and operation enterprises, and satellite project tracking data from third-party industry monitoring institutions. The update frequency is daily. Each daily report contains dozens to hundreds of project entries. The document uses a structured table format. Each entry includes fields such as project name, affiliated enterprise, financing amount, financing round, release date, satellite model, orbital position, and coverage area. Financing amount is denominated in ten thousand RMB or USD. Orbital position is measured in longitude degrees. Coverage area is measured in covered countries/regions or square kilometers.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
Daily updated batch structured data requires multi-turn dialogue to retain a user’s historical filtering conditions for specific satellite projects, to avoid reloading full daily report data. Fields include professional spatial attributes such as orbital position and coverage area. Prompt engineering needs to preset standardized specification rules for industry terminology, to prevent the model from confusing financing rounds with satellite launch phases. The multi-dimensional field setup requires multi-turn dialogue to support users in appending filtering conditions. Prompt engineering needs to configure context-associated parameter passing logic, to ensure subsequent questions can link to previously used filtering dimensions. Each entry has strong professional attributes, so the context window length must be limited to avoid redundant information interfering with the model’s accurate judgments.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | First 8 turns of dialogue context | Satellite communications financing daily reports have many field dimensions. Excessive context will occupy the model window. 8 turns can cover a user’s continuous filtering and follow-up questioning needs, while avoiding information overload |
retrievalTopK | Top 10 matching results | The daily updated financing report data volume is large. Returning 10 entries balances query accuracy and response speed, meeting users’ needs for quickly locating target projects |
similarityThreshold | 0.75–0.85 | Satellite industry terminology is highly professional. A threshold that is too low will include irrelevant financing projects, while a threshold that is too high may miss matching niche track projects |
historyMaxTurns | 10 turns of dialogue storage | Corresponds to multi-turn dialogue interaction scenarios. 10 turns can cover a user’s multi-dimensional questioning of the same satellite project. Redundant early context is automatically cleaned once the limit is exceeded |
promptTemplate | "Please combine the latest satellite communications financing daily report data to answer user questions. If professional fields such as orbital position or coverage area are involved, supplement the unit of measurement" | Preset prompt engineering for satellite communications industry terminology to ensure model output complies with industry standards, while linking to the financing report data source attribute |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Satellite communications financing daily reports may contain batch project data, which takes a long time to parse. 300 seconds avoids parsing failures caused by timeout |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Phenomenon: The workflow node returns a prompt stating "no associated historical context" after execution, or only outputs a single question-and-answer result. Cause: No valid value is set for the
historyMaxTurnsparameter, and the prompt template does not preset context reference rules, so the user’s previous questioning conditions cannot be reused. - Phenomenon: Different users see exactly the same dialogue history after logging in, or no historical records are available after exiting and re-entering. Cause: No unique user identifier field is bound, or user isolation configuration for session storage is not enabled, resulting in dialogue history not being stored by user dimension.
- Phenomenon: An error of "request timeout" or "file too large" is returned when uploading a batch Excel file of satellite communications financing daily reports. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted to a value suitable for batch data, or a reasonable upper limit forUPLOAD_FILE_MAX_SIZEis not configured, making large file parsing and upload impossible.
How to confirm the configuration is complete
- Initiate continuous questions that include historical context. For example, first ask for information on Series A financing of a certain satellite enterprise, then ask for the orbital position of that enterprise. Confirm that the model can link to the previously mentioned enterprise name and output the corresponding orbital position data.
- Use two different test identities to initiate the same question. Confirm that the dialogue histories of different identities do not interfere with each other, and each saves independent interaction records.
- Upload a satellite communications financing daily report file that matches industry scale. Confirm that there are no timeout or file format errors, and that the parsed data fields are complete and retrievable.
- Adjust the
similarityThresholdparameter to 0.8, initiate a question that includes professional terminology. Confirm that the matching degree of the returned results meets expectations, with no irrelevant projects included.
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.