What the data for this category looks like
Gas industry investment research data mainly comes from gas source price quotes on commodity trading platforms, public utility operation reports from national and local housing and urban-rural development departments, monthly briefings from industry associations, and quarterly financial reports and pipeline technical documents of gas enterprises. Update rhythms vary across data types: gas source prices are updated daily or weekly, policy documents are released irregularly, and corporate financial reports and pipeline operation data are updated quarterly or monthly. Documents include structured data such as price, pressure, and throughput tables, as well as unstructured data such as policy texts, technical specifications, and industry analysis reports. Fields include professional parameters with clear units, such as gas calorific value, supply pressure, and procurement cost.
What constraints these characteristics impose on the knowledge base retrieval and recall link
The varied update rhythms of gas investment research data require the retrieval and recall link to support configuring different incremental sync frequencies by data source type. This prevents old data from affecting investment research decisions. The precise fields and units of structured data require automatic matching of field names and units during retrieval. This avoids recalling irrelevant general commodity data. The dense professional terminology in long documents requires segment length to fit terminology integrity. This avoids splitting that breaks the logic of professional expressions. The need to cover multi-dimensional data sources requires adjusting recall and reranking parameters. This ensures results cover multiple investment research dimensions including gas sources, pipelines, and policies, while maintaining accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Gas investment research documents include multi-page industry reports and pipeline planning PDFs. 1000 MB can accommodate large single documents uploaded in batches, preventing upload failures caused by the default small size limit. |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Parsing large gas pipeline design documents takes a long time. 900 seconds ensures complete parsing of long documents, avoiding mid-parsing timeouts. |
chunkSize | 1000–1200 characters | Gas industry content has dense professional terminology. This range balances contextual relevance and terminology integrity, avoiding semantic fragmentation from overly long segments or damage to professional expressions from overly short segments. |
similarityThreshold | 0.72–0.78 | Gas data has high requirements for field accuracy. This threshold filters irrelevant general commodity data while retaining relevant segmented investment research entries. |
recallTopK | Top 10 entries | Gas investment research needs to cover multi-dimensional data sources including gas sources, pipelines, and policies. A recall volume of 10 ensures result diversity for subsequent reranking. |
rerankTopN | Top 3 entries | Investment research decisions require highly relevant and accurate results. Reranking retains the most matching core entries, avoiding interference from redundant information. |
The parameter values provided on this page are common recommended 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 Misconfigurations
- Phenomenon: After deploying via docker compose privately, clicking the knowledge base module returns an error, and the interface shows
500 Internal Server Error. Cause: The default configuration's knowledge base service port mapping was not modified, or the mount directory permission configuration was incorrect, causing the service to fail to read knowledge base files. - Phenomenon: When uploading a gas industry report PDF, a file size limit prompt appears, and the log returns
413 Request Entity Too Large. Cause: TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted. The default configuration limit is too small to accommodate the multi-page content of professional reports. - Phenomenon: After upgrading to version 4.8.18, searching for previously uploaded gas price data tables fails to return matching results. Cause: Version 4.8.18 adjusted the field parsing logic for structured data. Old structured files uploaded in previous versions were not re-parsed, causing field matching failures.
How to Confirm Proper Configuration
- Upload a 100 MB gas pipeline planning PDF, check if the interface shows upload success, with no timeout or size limit errors.
- Initiate a search for the gas calorific value field, verify that the field units of returned results match the units of the search keyword.
- Compare search results before and after the upgrade, confirm that the structured data recall matching logic works normally.
- View the knowledge base sync logs, confirm that incremental sync tasks trigger updates at the set frequency.
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.