What data for this category looks like
Data sources for satellite communications intelligent due diligence reports include satellite orbit parameter ledgers, spectrum occupancy monitoring logs, operator link operation and maintenance documents, ground station deployment records, and more. Update cycles vary: core orbit parameters are updated quarterly, real-time spectrum data is refreshed hourly, and operation and maintenance logs are generated immediately during troubleshooting and link adjustments. Document structures center on structured tables, supplemented by long-text technical descriptions. Fields include orbital inclination (unit: degrees), downlink frequency (unit: GHz), signal signal-to-noise ratio (unit: dB), coverage area latitude and longitude, and others. Some reports include PDF attachments of satellite link topology diagrams.
What constraints these characteristics impose on model access and configuration
Multi-source heterogeneous data formats (structured tables, PDF logs, text records) require model access configurations to support multi-format parsing plugins. This avoids missing structured parameter extractions or long text truncation. Differences in update frequencies across data sources require configuring dynamic index refresh strategies. These strategies distinguish recall windows for real-time spectrum data and static orbit ledgers, avoiding recall of outdated or invalid data. Fields with dedicated units (degrees, GHz, dB) require embedding models to have unit normalization and association understanding capabilities. This prevents parsing errors where parameters and units are mismatched. The length of long documents requires adjusting context window and chunking parameters. This ensures key technical parameters are not truncated or split, which would disrupt subsequent semantic association.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
embeddingModel | qwen3-embedding-8b or as determined by actual testing | Satellite communications due diligence reports contain a large number of technical parameters and long-text descriptions. This model’s understanding accuracy for professional technical semantics fits the needs of this scenario. For FastGPT v4.9.11, this identifier must be correctly selected in the model list |
maxContext | 8192–16384 tokens | A single satellite due diligence report usually contains dozens of pages of content. A sufficient context window preserves complete logical associations between technical parameters |
chunkSize | 1000–1500 characters | Structured parameter groups in satellite due diligence reports are usually distributed continuously within 1000 characters. This chunking length avoids splitting technical parameters |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large satellite operation and maintenance log PDFs takes a long time. This timeout setting avoids index failure caused by parsing timeouts |
recallTopK | Top 8–12 results | Satellite technical parameters are scattered across different sections. This recall volume covers all key technical association information |
similarityThreshold | 0.75–0.85 | The semantic similarity of satellite technical parameters is relatively high. This threshold balances recall accuracy and coverage |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual settings are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Phenomenon: In FastGPT v4.9.11, the file status continuously shows "Indexing" with no progress updates. Cause: The model ID for
qwen3-embedding-8bwas not filled in correctly, or the selected model cannot adapt to the long-text and structured parameter parsing logic of due diligence reports. - Phenomenon: The model call returns the
401 Unauthorizederror code. Cause: A valid third-party model access key was not entered in the configuration page, leading to authentication failure when pulling embedding vectors for satellite communications data. - Phenomenon: Continuous orbital parameter groups are missing from recall results. Cause: The
chunkSizesetting is too short, splitting the same set of technical parameters into different chunks, preventing the model from establishing complete associations.
How to confirm configuration is complete
- Enter the model configuration management page, verify that the connected embedding model ID matches the official identifier of the selected model.
- Upload a single small satellite communications due diligence report, check the index completion status and parsing logs to confirm there are no format errors.
- Initiate a test query, enter questions related to satellite orbital parameters, verify the field completeness and relevance of recall results, and adjust the values of relevant configuration items.
- Check the timeout time and chunk length parameters on the configuration page, confirm that they match the average length of the satellite due diligence reports currently being processed.
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.