What this category of data looks like
Oil and gas exploration and development policy and regulatory basis data comes from special regulations issued by the Ministry of Natural Resources and industry competent authorities, as well as internal exploration and development management systems and operation specification documents of central oil and gas enterprises. The update rhythm is adjusted according to policy revision cycles, with no fixed frequency. New policy documents must be synchronized promptly. Most documents are structured long texts, containing fields such as document number, issuing authority, effective date, clause number, and specific content. Clauses are organized by "article" and "paragraph", and date fields use standard Gregorian calendar formats.
What constraints these characteristics impose on the knowledge base retrieval and recall link
Policy data sources are scattered, including ministry-level regulations and internal enterprise systems. Filtering of recall scope by issuing authority is required to avoid mixing in policy content from unrelated fields. Documents are long and structured, so semantic integrity at the clause level must be preserved during chunking to avoid breaking policy logic. Fields include metadata such as document number and effective date. Retrieval must associate documents with metadata simultaneously to meet the metadata display requirements for compliance queries. Updates have no fixed cycle, so rapid synchronization of newly released policy documents must be supported to avoid recalling expired content.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75-0.85 | Oil and gas exploration and development policy texts are rigorous. A similarity threshold that is too low will introduce irrelevant policy content, while a threshold that is too high may miss relevant compliance clauses |
limit | Top 10 entries | A single policy document contains dozens of clauses. Too many recall results will exceed the context window limit, while too few will fail to cover all relevant basis. This setting also reduces retrieval and generation latency |
usingReRank | Enabled | There are many semantically similar clauses in policy texts. Reranking improves the accuracy of result sorting and ensures that core policy clauses are returned first |
datasetSearchUsingExtensionQuery | Enabled | There are many industry-specific terms in oil and gas exploration and development. Extended queries cover synonyms and industry aliases to improve retrieval recall rate |
collectionIds | Bound to the oil and gas exploration and development policy-specific dataset | Isolate knowledge base data from different categories to avoid recalling non-oil and gas policy content and ensure precise retrieval scope |
searchMode | Semantic retrieval | Most policy texts are long documents. Semantic retrieval matches the core meaning of clauses to improve retrieval accuracy |
Three common configuration errors
- Symptom: Conversation response times out, and generated content is interrupted mid-process. Cause: The configured
limitvalue is too high. The total character count of recalled documents exceeds the context window limit of FastGPT v4.17.0, forcing the generation process to truncate. - Symptom: Retrieval results do not include metadata such as document number and effective date. Cause: Metadata synchronization configuration is not enabled, and document metadata fields are not specified in the retrieval flow. This fails to meet the metadata display requirements for compliance queries.
- Symptom: After retrieving a question that matches a preset QA pair, irrelevant content outside the knowledge base is output. Cause: Context binding of retrieval results is not enabled, and the generation model is not restricted to only using recalled knowledge base content. This leads to generated content exceeding the scope of policy basis.
How to confirm the configuration is complete
- Upload a test oil and gas exploration and development policy document, initiate a query containing specific clause keywords, and check that the source of returned results only includes policy data from this category.
- Adjust the
similarityparameter value, compare retrieval result relevance across different thresholds, and confirm the value meets the business requirements for accuracy. - After enabling
usingReRank, compare the initial retrieval results with the sorted results after reranking to confirm the reranking function works correctly. - Review the fields returned by retrieval, confirm that metadata such as document number and effective date is returned along with document content.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.