What the data for this category looks like
Data sources for oil and gas extraction financing daily reports include publicly disclosed financing announcements for oil and gas extraction projects, daily financing monitoring data released by oil and gas industry associations, and financing ledgers for oil and gas sectors from financial institutions. Data is updated daily, covering financing events in the oil and gas extraction sector that occur on the same day. The document structure of a single data entry includes financing entity name, oil and gas block number, financing amount, financing method, fund provider name, financing purpose, disclosure date, and project location. For field units, financing amount uses ten thousand RMB as the unit, date format follows YYYY-MM-DD, and oil and gas block numbers use a standard format combining letters and numbers.
What constraints these characteristics impose on the knowledge base retrieval and recall link
The scattered data sources for oil and gas extraction financing daily reports require the retrieval link to support cross-verification of multi-source data. The daily update rhythm requires the retrieval system to support incremental indexing and scheduled synchronization to avoid data lag. Documents contain exclusive fields such as oil and gas block numbers and financing purposes, so weighted recall rules must be configured for these fields. There are unit differences between ten thousand RMB and hundred million RMB for financing amounts, so unit unification must be performed during the preprocessing stage to prevent recall failure due to unit mismatch during retrieval. The above characteristics directly determine the configuration direction of the knowledge base’s parsing, indexing, and retrieval parameters.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segment_length | 300–500 characters | The oil and gas extraction financing daily report contains multiple associated fields. The segment length adapts to the semantic integrity of field combinations, avoiding loss of the association between oil and gas block and financing information after splitting |
recall_count | Top 8–12 entries | The number of daily financing events for this category is limited. This range can cover core relevant documents, avoiding redundancy or omission |
similarity_threshold | 0.72–0.80 | Financing terminology in the oil and gas industry is highly specialized. A higher threshold can filter out financing data from unrelated industries, improving recall accuracy |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Summary documents containing multiple oil and gas blocks have more parsing steps, requiring sufficient parsing time to be reserved |
maxContext | 800–1200 characters | The core information of a single financing daily report is approximately 500 characters. This range can retain sufficient context for associated retrieval and answer generation |
knowledgeSearch.enableWeight | Enabled | Weighting must be set for the oil and gas block number and financing purpose fields to improve the retrieval priority of exclusive fields |
The parameter values provided on this page are all conventional recommendations used to determine the starting point for configurations. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to conduct actual tests on target samples before finalizing the settings.
Three common mistakes
- Phenomenon: After dynamically passing values for the
knowledgeSearchconfiguration, the AI response does not return matching document citations. Cause: The binding relationship between the knowledge base variable and dynamic query parameters was not established in the workflow, resulting in the correct retrieval conditions not being passed during retrieval. - Phenomenon: Multiple conflicting oil and gas financing data appear in the retrieval results, such as inconsistent descriptions of financing amounts for the same block. Cause: Multi-source data conflict verification rules were not configured in the knowledge base parsing link, and duplicate financing events were not automatically marked.
- Phenomenon: The knowledge base retrieval results only return citations from text datasets, and datasets in other formats are not recalled. Cause: The retrieval switch for the corresponding format dataset was not enabled, or the vectorization parsing configuration for non-text datasets was not completed.
How to confirm the configuration is complete
- Upload a single oil and gas extraction financing daily report document, check whether parsed fields are fully extracted, and confirm that segmenting and unit preprocessing are active.
- Initiate a simulated retrieval, enter a specific oil and gas block number, and verify whether retrieval results prioritize financing data for the corresponding block.
- Test the dynamic value passing function, enter preset financing purpose keywords, and confirm that the matching degree of retrieval results meets expected standards.
- View the knowledge base’s incremental synchronization logs, and confirm that daily updated financing data has been correctly indexed to the retrieval database.
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.