What data for this category looks like
Telecom service investment research data primarily comes from carrier public financial reports, technical white papers from communication equipment manufacturers, monthly operation monitoring reports from industry associations, base station and core network operation logs, and patent documents. Financial reports and industry reports are updated quarterly and semi-annually. Technical white papers and patent documents are released irregularly. Operation logs are updated daily or in real time. Most documents include technical parameter sections and financial operation sections, with fields covering frequency band bandwidth, coverage rate, ARPU value, revenue scale, and other metrics. Units include MHz, %, yuan per user, and some long documents include multi-page appendices with test data.
What constraints do these characteristics impose on deployment and upgrade?
Telecom service investment research data includes long documents, real-time logs, and multi-field structured data. Individual documents can reach tens of thousands of characters, and frequently updated operation log data exists. Deployment must adapt resource configurations for large file uploads and incremental synchronization. The update rhythms of different data sources vary greatly. When upgrading the knowledge base synchronization strategy, dual modes of quarterly batch updates and real-time streaming updates must be supported. Multi-field technical and financial data requires unified preprocessing rules for vector embedding to avoid retrieval anomalies caused by mismatched embedding dimensions. Sufficient vector database expansion space must be reserved during upgrades to handle index pressure from newly added monitoring logs.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Telecom service documents often include long technical white papers and operation logs. The 1000 MB limit covers most scenarios and prevents large file upload failures |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Text parsing and chunking for long documents takes a long time. The 600-second timeout setting prevents normal parsing from being interrupted |
maxContext | 800–1200 characters | Single pieces of telecom service technical parameters and financial fields have high information density. This length can fully carry a single core data entry |
retrieval count | Top 8–12 entries | Telecom service investment research data has high relevance differentiation. This retrieval volume covers multi-dimensional technical and operation information |
embedding_batch_size | 32 | When batch embedding multi-field structured data, a batch size of 32 balances CPU/GPU resource usage and processing efficiency |
SYNC_INTERVAL | 3600 seconds | Balances the update needs of quarterly batch reports and real-time operation logs. This interval achieves a stable synchronization rhythm |
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 mistakes
- Issue: After upgrading to version
4.8.20, the locally deployed frontend page displays a403status code or a blank loading screen. Cause: The cache policy for frontend static resources was not updated synchronously. Scripts cached from the old version are incompatible with the new version's backend interfaces. - Issue: After configuring
text-embedding-ada-002to connect to a third-party interface, the knowledge base call pops up an error. Cause: The interface path prefix was not correctly filled in the vector model configuration, or the call permission for the corresponding model was not enabled. - Issue: The knowledge base retrieves correct reference entries, but the generated answer body does not include the reference content. Cause: The reference content splicing switch was not enabled, or core text fragments associated with references were truncated during context splicing.
How to confirm the configuration is correct
- Upload a standard telecom service technical white paper, and check if the parsed chunked text fully covers technical parameters and financial fields with no obvious truncation.
- Initiate a knowledge base retrieval test, and verify that the number of returned retrieval entries matches the set parameters.
- Call the vector embedding interface, and check that the dimensions of the embedding results match the configured model dimensions with no dimension mismatch errors.
- Trigger an incremental synchronization task, and verify that the synchronization log includes the latest industry reports and operation log data.
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.