What This Category of Data Looks Like
Telecommunications equipment investment research data for financial investment research scenarios originates from technical white papers of telecommunications equipment manufacturers, specifications from standardization organizations such as 3GPP, technical requirements for carrier centralized procurement, and internal communication infrastructure operation and maintenance logs of financial institutions. Updates occur irregularly alongside new equipment launches, industry standard iterations, and adjustments to centralized procurement requirements. Most documents consist of structured parameter tables paired with networking configuration instructions. Core fields include device model, radio frequency parameters, interface specifications, and compliance certification items. Units include professional metrology identifiers such as GHz, dBm, and Mbps.
Constraints on Multi-turn Dialogue and Prompt Engineering
Financial investment research has strict requirements for the accuracy and relevance of telecommunications equipment data. The structured nature of the data, irregular update schedule, and networking-related configuration create constraints for multi-turn dialogue and prompt engineering design. Continuous tracking of core identifiers such as device model and version number is required to avoid parameter misalignment across dialogue turns. Version verification logic must be embedded in prompts to ensure called parameters match the standards or centralized procurement requirements for current financial investment research. For networking-related configuration items, multi-turn dialogue must support linked queries of cross-device parameters, such as matching verification between base station frequency bands and antenna gain. For real-time operation and maintenance data queries, context retention duration must be configured to align with the data update schedule.
How to Set Configuration Parameters
| Configuration Item | Recommended Values | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Telecommunications equipment parameter documents have lengthy content. Multi-turn dialogue must retain multi-turn model and version information to avoid context overflow |
recallTopK | Top 6–8 entries | Telecommunications equipment data includes multi-dimensional structured parameters. Coverage of core query dimensions such as model, radio frequency, and interface is required |
contextSaveDays | 30–90 days | Financial investment research scenarios require reviewing historical conversations to verify parameter consistency, matching the cycle requirements of investment research processes |
promptTemplate | Must explicitly reference device model and version number, with units unified to standard metrology identifiers such as GHz, dBm | Telecommunications equipment parameters have strict unit and version requirements, preventing the model from outputting content that mixes different models or units |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large telecommunications equipment technical white papers include multi-page parameter tables, requiring longer processing time for parsing |
similarityThreshold | 0.75–0.85 | Structured parameter matching requires high precision, preventing accidental recall of document content for non-corresponding models |
The parameter values provided on this page are common 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 values.
Three Common Configuration Mistakes
- Symptom: Each conversation response takes longer than 10 seconds. Cause: The
recallTopKparameter is not adjusted, and excessive non-essential documents are recalled, increasing model inference time. - Symptom: Core information such as device model and version number is lost across dialogue turns. Cause: The
maxContextparameter is set too small, failing to retain a sufficient context window. - Symptom: Conversation logs cannot be retained beyond the set duration. Cause: The
contextSaveDaysparameter is not configured correctly, or the configuration path is incorrect.
How to Verify Successful Configuration
- Start two consecutive conversations. First, query the radio frequency parameters of a specified telecommunications equipment model. Second, query the supporting interface specifications of that model. Confirm whether the model retains the model information from the first conversation.
- Upload a telecommunications equipment technical white paper. Check whether the parsed segmented content matches the set context window, confirming that no timeout error occurs during parsing.
- Run a test conversation and record the response time. Adjust the
recallTopKor model call parameters based on expected business scenarios, and verify the effect of response speed optimization. - Access the conversation log management interface. Check whether the log retention duration matches the set configuration parameters, confirming that the configuration takes effect.
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.