What the Data for This Category Looks Like
The market and yield rate data for the telecommunications services category comes from public securities market APIs and industry operation reporting APIs. Update cadence: real-time price and abnormal movement data refreshes every 10 minutes on trading days. Full daily industry report documents are updated daily on non-trading days. Documents use structured formats, including fields such as industry benchmark identifier, daily benchmark value, constituent stock abnormal items, capital inflow and outflow scale, and others. Field units include points, ten thousand yuan, and more. Data dimensions cover three core sets of information: daily market summary, constituent stock performance, and industry capital flow direction. No redundant unstructured content is included, and the data can be directly used for information extraction in dialogue scenarios.
Constraints Imposed by Data Characteristics on Multi-turn Dialogue and Prompt Engineering
Telecommunications service data has high timeliness. Dialogue context must have a limited effective period to prevent old data from interfering with current query results. Structured field characteristics require prompts to clearly specify field extraction rules, to avoid confusion with category data from other industries. In multi-turn dialogue, users must be clearly guided to specify the target trading day for queries, to prevent mixing cross-period data. The need for batch loading daily report documents requires the dialogue process to associate parsed documents from corresponding time periods by turn, to avoid context overload. The update frequency of real-time data requires the system to periodically refresh recalled knowledge base documents. This ensures the information used in dialogue is up to date, and avoids providing outdated market data.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 2000–3000 characters | Telecommunications service market data has strong timeliness. Excessively long context will introduce interference from old data. Limiting context length ensures that dialogue only associates the most recent valid market information. |
PARSE_FILE_CHUNK_SIZE | 800–1200 characters | Telecommunications service daily report documents contain structured fields and detailed data. This chunk length preserves field integrity and avoids losing associated information after splitting. |
RECALL_TOP_K | Top 4–6 results | Market data fields are concentrated. Excessive recall results will cause prompt overload. Limiting the number of recalled results focuses on valid information. |
SIMILARITY_THRESHOLD | 0.75–0.85 | Distinguish market data of telecommunications services from other industries to avoid recalling documents from non-target categories. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | 10M-level telecommunications service daily report documents contain multiple sets of detailed data. Extending the timeout period ensures complete parsing. |
SYSTEM_PROMPT_TEMPLATE | Fixed specification of telecommunications service category, limited query period, clear field extraction rules | Match the structured characteristics of telecommunications service data to avoid confusion with market information from other industries. |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and testing on custom samples is recommended before finalizing settings.
Three Common Misconfiguration Issues
- The thinking process in the dialogue interface displays continuous vertical line separators that cannot be hidden. This occurs because the system prompt is not configured to disable formatted output for intermediate thinking steps, and debug separators are retained by default.
- Calls to the knowledge base association interface return empty results. This occurs because the
kbIdfield of the target knowledge base is not specified in the request parameters, or the recall threshold is set too high, resulting in no matching documents. - Parsing 10M-level Word documents takes an excessively long time. This occurs because the
PARSE_FILE_CHUNK_SIZEparameter is not adjusted to a reasonable chunk length, and parallel parsing configuration is not enabled. This causes excessive resource usage for single-segment parsing.
How to Confirm Proper Configuration
- Initiate a query containing telecommunications service market keywords, and verify that returned results only include information from the telecommunications service category, with no data from other industries.
- Upload a 10M-level telecommunications service daily report document, and confirm that parsing completes within a reasonable time frame with no timeout errors.
- Call the dialogue interface, and check that returned results include valid recalled documents in the
contextfield, with a quantity within the configured recall range. - Observe the dialogue interface output format, with no extra vertical line separators, and output content that conforms to preset field extraction rules.
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.