What the Data for This Category Looks Like
Telecommunications service research report data sources primarily include domestic telecommunications industry associations, publicly disclosed operational data from three major basic operators, and special research content from third-party professional consulting institutions. The update rhythm follows a quarterly core cycle, with temporary releases accompanying major events such as 5G deployment, computing power network upgrades, and international telecommunications policy adjustments. Single research report document structure includes fields such as issuing institution, release date, core track (e.g., optical communication, satellite communication, cloud communication), revenue data, competitive landscape, and future outlook. Core indicators include number of base stations (unit: count), average ARPU per user (unit: yuan/user), market share (unit: %), investment rating (unit: grade identifier), and others. Field formats vary slightly across reports from different sources.
Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompt Engineering
The multi-source and scattered sources of telecommunications service research reports require multi-turn dialogue processes to unify field calibers. Prompts must clearly specify unified indicator interpretation rules to avoid caliber conflicts across data from different sources. The quarterly update and temporary release rhythm requires the recall mechanism to support dynamic filtering of the latest content by release date. Multi-turn dialogue must allow users to inquire about the release time and source of research reports. The relatively long length of single documents requires the context window to adapt to long-text recall. Prompts must limit the number and length of recalled paragraphs to avoid redundant information interfering with responses. The specificity of professional fields and units requires prompts to mandate that the model retains original units and indicator names. Multi-turn dialogue must support users to inquire about the calculation logic and statistical caliber of indicators.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to the relatively long content of single telecommunications service research reports, retains sufficient multi-turn dialogue history context |
RECALL_TOP_N | Top 8–12 entries | Balances the characteristics of numerous specialized telecommunications service tracks, avoids excessive redundant recall content or incomplete coverage of relevant research reports |
SIMILARITY_THRESHOLD | 0.75–0.85 | Matches the semantic characteristics of telecommunications service professional terminology, filters low-correlation recall content |
PROMPT_TEMPLATE | {query}, please answer using the following telecommunications service research report content: {context}, responses must retain professional units and indicator calibers from the original text | Unifies professional terminology and statistical calibers, ensures responses comply with professional norms of the telecommunications service industry |
CHAT_TEMPERATURE | 0.1–0.3 | Reduces response randomness, ensures accuracy of professional data and conclusions in the telecommunications service industry |
ENABLE_UPLOAD | Enabled | Supports users to upload local telecommunications service research report attachments, expands the scope of retrieval data sources |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Custom prompt configuration does not take effect, model responses do not follow preset logic. Cause: The prompt is not written into the specified binding area of
PROMPT_TEMPLATE, or the recalled research report context variable is not associated. - Phenomenon: Sticky interaction on the dialogue interface, high response delay. Cause: The character length of
maxContextis not limited, resulting in excessive loading of historical context and recalled content for each dialogue. - Phenomenon: Unable to continue dialogue based on uploaded research report attachments after uploading. Cause: The
ENABLE_UPLOADconfiguration item is not enabled, orUPLOAD_FILE_ALLOWED_TYPESis not set to commonly used research report formats such as PDF and DOCX.
How to Verify Correct Configuration
- Enter a professional telecommunications service question, such as "2024 domestic 5G base station incremental count". Verify that the model response references recalled research report content and retains professional units.
- Initiate two consecutive questions, such as first asking "domestic cloud communication market size", then following up with "what is the statistical caliber of this data". Verify that the model retains context information from the first round.
- After enabling the dialogue export function, initiate a complete dialogue and attempt to export. Verify that the exported file contains complete dialogue history and research report citation content.
- Upload a local telecommunications service research report attachment, initiate a question based on the attachment content. Verify that the model response is generated based on specific content in the attachment.
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.