What this category’s data looks like
Party building learning data for the oil and gas exploration and development sector comes primarily from internal Party building documents of petroleum and petrochemical state-owned enterprises, compilations of Party building case studies from frontline production sites, and learning materials distributed by superior Party organizations. Data updates follow a fixed quarterly schedule, with temporary additions of Party activity records from newly commissioned well sites. Document structures include fields such as work area number, well site name, learning theme, and activity date. Most individual documents range from 1000 to 5000 characters in length. Some documents combined with production data also include business-related information such as operation cycles and geological parameters.
What constraints these characteristics impose on knowledge base retrieval and recall
Data includes clear business-related fields. Retrieval must support filtering by work area, well site, and other dimensions to avoid mixing irrelevant Party building content across work areas. Individual documents have relatively long lengths. Retrieval chunking must adapt to long text structures to prevent semantic segmentation from damaging the integrity of Party building learning content. Update rhythms include both fixed cycles and temporary additions. The recall mechanism must prioritize newly updated documents while retaining historically compliant content. All data sources are internal classified or semi-classified documents. Retrieval scope must be strictly limited to the specified knowledge base set, and cross-category calls to other datasets are not allowed.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.72–0.80 | Matches the rigor of Party building Q&A, filters low-relevance non-Party building content, and adapts to the professional terminology semantics of oil and gas exploration scenarios |
limit | Top 6 entries | Controls the total context length, adapts to the long text characteristics of oil and gas exploration Party building documents, and avoids exceeding the model context limit |
searchMode | Semantic retrieval | Matches the semantic association between Party building and production scenarios, and adapts to the integrated content of business terminology and Party building themes in documents |
usingReRank | Enabled | Rearranges initial recall results, prioritizes content most relevant to the current query’s Party building theme and work area information |
datasetSearchUsingExtensionQuery | Enabled | Automatically optimizes retrieval terms for Party building questions, supplements business keywords related to production scenarios, and improves recall accuracy |
collectionIds | Specify the collection ID of the oil and gas exploration Party building knowledge base | Strictly limits retrieval scope, prevents mixing content from other categories or non-Party building knowledge bases |
Three Common Mistakes
- Phenomenon: When calling the application, only content within the knowledge base is returned. External information cannot be retrieved even if a network-enabled AI model is configured. Cause: The knowledge base-specific retrieval mode is enabled by default, and
searchModeis not configured as a cross-source retrieval mode. - Phenomenon: Non-oil and gas exploration Party building content appears in retrieval results. Cause: The
collectionIdsconfiguration to limit the knowledge base scope is not set, leading to retrieval across category datasets. - Phenomenon: Insufficient retrieval results fail to cover the complete context of Party building Q&A. Cause: The
limitvalue is set too low, failing to adapt to the long text characteristics of oil and gas exploration Party building documents.
How to Verify the Configuration is Correct
- Upload a test oil and gas exploration Party building document, initiate a Party building query that includes work area and well site information, and check if the recall results include the test document’s content.
- Access the application debugging interface of FastGPT v4.17.0, view the retrieval log, and confirm that the actual call values of parameters such as
similarityandlimitmatch the configured requirements. - Initiate a query across business scenarios, such as a Party building question from a non-oil and gas exploration field, and verify that irrelevant oil and gas exploration Party building content is not returned.
- Adjust the
usingReRankswitch, observe the sorting changes of the recall results, and confirm that the reranking function operates correctly.
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.