What the data for this category looks like
Data for communications equipment intelligent due diligence reports comes primarily from public technical documents of communications equipment manufacturers, centralized procurement bidding announcements of operators, third-party communications equipment testing institution reports, and operator operation and maintenance backend logs. Update rhythms vary: manufacturer technical documents are updated irregularly alongside product iterations, procurement data is released quarterly, operation logs are generated daily, and testing reports are updated with each inspection batch. A single report typically includes an equipment model module, hardware parameter module, operation performance indicator module, compliance certification module, and supplier performance record module. Each module contains standardized identification fields and corresponding measured values, with units mostly following international standard units for the communications industry.
What constraints do these characteristics impose on vector models and indexing
The mixed import of multi-source heterogeneous data requires vector models to support separate or joint encoding of structured numerical fields and unstructured text fields. Differences in update rhythms require the indexing system to support differentiated incremental refresh mechanisms triggered by data source type. A single report contains many strongly correlated parameters, such as frequency bands bound to transmit power. When segmenting data, context association between parameters and their corresponding technical descriptions must be retained to avoid semantic breaks. Exclusive units and terms in the communications industry also require vector models to have encoding capabilities compatible with non-general professional semantics.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Communications equipment due diligence reports contain long technical descriptions and associated parameters. Segments that are too long will lose semantic connections, while segments that are too short will break the binding relationship between parameters and their corresponding descriptions |
chunk_overlap | 100–150 characters | Key information such as equipment models and core parameters must be retained across segment contexts, to avoid situations where parameters and technical descriptions are separated during recall |
similarity_threshold | 0.72–0.85 | Most communications equipment parameters are strongly correlated numerical values. A threshold that is too low will introduce recall results from unrelated equipment, while a threshold that is too high will miss matching compliance or operation and maintenance data |
recall_top_k | Top 8–12 results | A single due diligence report has many associated parameters, so a sufficient number of segments must be recalled to cover the complete technical chain, while avoiding redundant results |
index_refresh_interval | Configured by data source type: operation logs every 1 hour, procurement data every 1 day, manufacturer documents triggered as needed | Different data sources have widely varying update rhythms. Configuring refresh intervals by type balances index real-time performance and computing resource usage |
vector_model | General-purpose vector model supporting multimodal encoding (such as a dedicated Chinese communications domain fine-tuned model) | Must be compatible with semantic encoding of communications industry exclusive terms and numerical parameters, to improve recall accuracy |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values 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.
Three common errors
- After upgrading from 4.9.0 to 4.9.3, previously queryable communications equipment due diligence data can no longer be recalled, and the interface returns "No matching results". Cause: The vector index format generated by the old version is incompatible with the new version, and index reconstruction or incremental synchronization configuration was not performed.
- After uploading an Excel file containing equipment parameter tables, units or formatting of fields such as equipment models and frequency bands are lost or garbled in the index results. Cause: The field mapping switch for table structured parsing was not enabled, or conversion rules for communications industry exclusive units were not configured.
- A large number of duplicate equipment technical description fragments appear in recall results, and cannot be merged into coherent references according to report logic. Cause: The
chunk_overlapparameter is set too large, resulting in excessive segment overlap, or the search result merging function is not enabled.
How to confirm the configuration is correct
- Upload a single typical communications equipment due diligence report, check the parsed segment results, confirm that equipment models and their corresponding technical descriptions are not split.
- Enter exclusive communications terms or parameters, test recall results, confirm that the relevance of matching results meets expectations.
- Trigger an incremental indexing task, check the index refresh logs, confirm that the refresh intervals of different data sources are executed as configured.
- After configuring the target vector model, test the model encoding results, confirm that communications industry exclusive terms and units are correctly identified.
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.