Multi-turn Dialogue and Prompt Engineering for

Data Characteristics of This Category

Data sources include operator public operation reports, technical documents from communications equipment manufacturers, industry alliance monitoring datasets, and standard documents released by telecommunications standard working groups. Update cycles cover quarterly operation data, irregular technical iteration documents, and monthly industry traffic monitoring data. Document structures include structured business indicator tables, long-form technical descriptions, and time-series network operation data. Fields include frequency band bandwidth, base station coverage parameters, and network latency indicators, with units of MHz, square kilometers, and milliseconds respectively.

Constraints for Multi-turn Dialogue and Prompt Engineering

The multi-source structure and time-series characteristics of telecommunications service investment research data create multiple constraints for multi-turn dialogue logic. Unit differences between structured business indicators and time-series network data require clear identification of the currently discussed indicator units during multi-turn dialogue, to avoid cross-dimensional confusion. The considerable length of long-form technical documents requires limiting redundant content in context recall, to prevent exceeding the model’s context window. Datasets with varying update cycles require explicit specification of calls for the latest version of operation data in prompts, to avoid referencing outdated information. Prior discussion subjects must be retained during multi-turn follow-up questions, to ensure context consistency for subsequent inquiries.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`maxContext`	`8000–12000 characters`	Adapts to the context retention needs of long-form technical documents and multi-turn follow-up questions for telecommunications services
`RECALL_TOP_N`	`Top 6–8 entries`	Covers multiple indicators across telecommunications service business and technical dimensions, avoids redundant recall content
`UPLOAD_FILE_MAX_SIZE`	`500 MB`	Adapts to the single-file size of telecommunications service industry white papers and quarterly operation reports
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	Meets the time requirements for long document parsing, prevents parsing interruptions
`SIMILARITY_THRESHOLD`	`0.75–0.85`	Distinguishes indicators across different operators and frequency bands, reduces the probability of irrelevant content recall
`PROMPT_TEMPLATE`	Prioritize calling the latest uploaded telecommunications service dataset, clearly label indicator units, retain subject information from previous conversations	Adapts to the multi-source and time-series characteristics of telecommunications service data, ensures consistency in multi-turn dialogue

The parameter values provided on this page are common starting points for configuration setup. Actual values are influenced by material format, data volume, and business rules. Individual analysis is required for specific cases, and it is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

Issue: After deploying via image packaging, uploaded telecommunications service industry documents cannot be recognized, with no clear error prompt. Cause: The mount path for UPLOAD_FILE_STORAGE_PATH was not correctly configured during deployment, causing uploaded attachments to not be synchronized to the knowledge base parsing process.
Issue: In the advanced orchestration of version 4.6.9, after configuring a judgment node, the AI dialogue node cannot obtain the initial user question. Cause: The output field of the judgment node was not correctly bound to the user_input input parameter of the AI dialogue node, causing the context transfer link to be interrupted.
Issue: Structured attachments such as communication network topology diagrams and base station parameter tables cannot be correctly parsed and displayed during multi-turn dialogue. Cause: The ENABLE_IMAGE_TABLE_PARSE configuration item was not enabled, and the prompt did not explicitly require extraction of structured attachment content.

How to Confirm Proper Configuration

Upload a long telecommunications service industry document, check if the parsed knowledge base entries cover the core content of the document, and verify that the parsing duration matches the configured PARSE_FILE_TIMEOUT_SECONDS value.
Initiate two related follow-up questions, for example, first query the technical parameters of a certain type of communication equipment, then ask about the application scenarios of these parameters, check if the dialogue retains the device type subject from the previous discussion.
Adjust the similarity threshold value, test recall results under different configurations, confirm that the match between recalled content and current queries meets expectations.
View the user_query field in the dialogue log, confirm that no parameter transfer is missing across nodes in the advanced orchestration link.

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.