What the data for this category looks like
Gas industry research report data mainly comes from national energy authorities, local gas industry associations, annual reports of listed gas companies, and special surveys from third-party energy consulting firms. Update cycles fall into two categories: fixed schedule and event-triggered. Fixed schedule updates include monthly supply and demand reports, quarterly price monitoring, and annual industry white papers. Event-triggered updates are temporary analyses released at milestones such as gas price adjustments, pipeline infrastructure completion, and sudden gas supply shortages. Document structures center on structured data tables, paired with text content such as policy interpretations, market supply and demand projections, and cost breakdowns. Fields include total gas supply, terminal sales price, pipeline operation mileage, and terminal user count. Common units are cubic meters, yuan per cubic meter, kilometers, and ten thousand households.
What constraints do these characteristics impose on the knowledge base retrieval and recall link
The multi-source heterogeneous nature of gas industry research reports leads to mixed uploaded file formats, including PDF, Word, Excel, and compressed packages with embedded charts. This increases adaptation difficulty for the parsing stage. The coexistence of fixed-schedule and event-triggered update cycles requires the knowledge base synchronization mechanism to balance flexibility for batch full updates and incremental updates. A large number of structured data tables and professional terms in research reports cause issues like context breaks and semantic loss during conventional chunking and vectorization. Single in-depth research reports often exceed 10 MB, leading to a high number of chunks. Improper chunk parameter settings can cause abnormal chunk vectorization or incomplete recall results. Additionally, embedded visual content such as pipeline diagrams and price trend charts in research reports cannot provide effective support for retrieval and recall if semantic information is not extracted.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single in-depth gas industry research reports often exceed 10 MB. Raising this upper limit prevents data loss caused by file truncation |
PARSE_CHUNK_SIZE | 800–1200 characters | Gas research reports contain long-sentence analyses and coherent structured data context. This range avoids chunk breaks that harm semantic integrity |
SIMILARITY_THRESHOLD | 0.72–0.80 | The gas industry has a large number of professional terms and niche scenarios. A threshold that is too low will mix in irrelevant industry research reports, while a threshold that is too high will result in insufficient recall |
RECALL_TOP_K | Top 6–8 results | Core arguments and data in gas research reports are concentrated in a small number of sections. Excessive recall will introduce redundant information that interferes with retrieval results |
PARSE_TABLE_ENABLE | Enabled | Gas research reports contain a large number of supply and demand, price, and pipeline data tables. Enabling this setting preserves the semantic information of structured data |
UPLOAD_RETRY_LIMIT | 3 retries | Network fluctuations during large-file chunked uploads may cause chunk errors. Retries can fix most temporary failures |
WEB_CRAWLER_ENABLE | Enabled and configure crawling rules | If you need to use gas industry official websites as a knowledge base source, enable this setting and restrict crawling domains and content types |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After uploading a gas research report larger than 10 MB, some chunks show vectorization failures. Repeatedly clicking retry only recovers a portion of abnormal items. Cause: Gas research reports contain complex tables and long formulas. Contextual associations are not preserved during chunking, so the vectorization engine cannot recognize professional data structures.
- Phenomenon: After a server restart, the batch-uploaded gas research report knowledge base is in a not-ready state, with no automatic indexing progress prompt. Cause: Batch upload tasks are not written to a persistent queue. Tasks are lost after restart, and the automatic reconnection indexing process is not triggered.
- Phenomenon: Pipeline diagrams and price trend charts imported from gas research reports cannot be displayed in retrieval results. Cause: Image OCR and text extraction configurations are not enabled. Only image links are retained, and image semantics are not converted into retrievable text content.
How to confirm correct configuration
- Upload a single gas research report larger than 15 MB, check the chunk log to confirm that the number of chunks is within a reasonable range, with no abnormal failure markers.
- Initiate a search containing professional terms, such as "North China regional gas supply gap", check the relevance of recall results, and adjust
SIMILARITY_THRESHOLDto a range that meets business requirements. - After enabling the table parsing switch, search for keywords related to research reports containing data tables, confirm that the semantic information of structured data is retained in the recall results.
- Test importing a specified page from a gas industry official website, check that the page content is successfully crawled and indexed without manual intervention.
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.