What this category of data looks like
Data related to gas industry investment research mainly comes from public notifications from national energy regulatory authorities, monthly operation data from local urban gas regulatory authorities, industry association reports of the gas industry chain, price adjustment announcements from upstream gas source enterprises, and gas pipeline inspection documents. The update rhythm varies across sources: regulatory operation data is updated monthly, corporate financial reports are released quarterly or annually, price adjustment announcements are updated in real time, and industry research reports are released irregularly. Document formats include short text price adjustment notices, structured operation reports, and long-form industry chain analysis reports. Fields covered include total gas supply, number of users, revenue, pipeline pressure, and more. Units include ten thousand cubic meters, ten thousand households, ten thousand yuan, megapascals, and others.
Constraints on multi-turn dialogue and prompt engineering
The multi-source update rhythm of gas industry investment research data requires multi-turn dialogue systems to distinguish the recall priority of different data sources, preventing outdated data from being recalled first. The coexistence of structured reports and long documents requires prompt engineering to clearly define parsing rules for structured fields and unstructured text, avoiding unit confusion or information truncation. Multi-turn interactions must retain gas operation parameters mentioned across multiple turns, so the context window needs to accommodate long text retention requirements while avoiding irrelevant information interfering with dialogue logic. The diversity of industry terms and units requires prompt engineering to mandate that the model mark the units corresponding to data, preventing unit confusion.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Gas industry research reports are mostly long documents, and multi-turn dialogue needs to retain key information from multiple rounds of interactions to avoid truncating core data |
Recall Count | Top 6–8 entries | Gas data includes structured reports and long research reports. Too many recalled entries will exceed the context limit, while too few will fail to cover relevant information |
Similarity Threshold | 0.75–0.85 | There are many industry-specific terms in the gas sector, so low-related unstructured documents need to be filtered, while weakly relevant matching results of structured reports need to be retained |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large gas research reports and batch reports takes a long time, which avoids parsing failures caused by timeouts |
UPLOAD_FILE_MAX_SIZE | 500 MB | Gas industry chain reports may contain a large number of charts and data attachments, so large file uploads need to be supported |
Reranked Return Count | Top 4–5 entries | Prioritize recalling the most relevant structured data, such as price adjustment announcements and real-time operation data, to improve dialogue accuracy |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to conduct tests on your own samples before finalizing the configuration.
Three common misconfigurations
- Phenomenon: When initiating a normal conversation, content from the gas knowledge base appears in the returned results. Cause: Application instances for normal conversation and knowledge base conversation are not isolated, and the knowledge base binding scope of the application is not correctly configured.
- Phenomenon: A
504 Gateway Timeouterror is returned during a conversation. Cause: Parsing a large gas research report timed out, and thePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted to a reasonable value. - Phenomenon: Unit confusion occurs for gas user number fields mentioned multiple times in multi-turn dialogue. Cause: Prompt engineering does not clearly require the model to uniformly identify and mark field units, and format verification rules for structured data are not configured.
How to verify correct configuration
- Initiate 3 consecutive rounds of gas data query conversations, verify that key parameters from the previous round of interaction are retained in each returned result, and adjust the context configuration to meet interaction requirements.
- Upload a single large gas research report, check the parsing completion status, and confirm that the timeout configuration matches the file parsing time.
- Call the conversation record interface, verify that historical conversations within a specified range can be returned, and check whether the application's conversation storage configuration is enabled.
- Test queries for structured gas operation reports, verify that unit markings in returned content are consistent, and adjust prompt engineering rules to meet requirements.
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.