Policy and Regulatory Basis Q&A for Power Grid Enterprises: Knowledge Base Retrieval and Recall

What the Data for This Category Looks Like

Policy and regulatory basis data for power grid enterprises primarily comes from the National Energy Administration, local energy regulatory authorities, and official internal corporate documents. Data updates align with the pace of policy releases, and immediate synchronization occurs when new industry standards or internal enterprise rules are issued. Most documents follow formal official formats, including fields such as document number, issuing authority, effective date, and clause entries. Clauses follow a hierarchical structure of articles, paragraphs, and subparagraphs. The length of individual documents ranges from hundreds to tens of thousands of words.

Constraints Imposed by These Characteristics on Knowledge Base Retrieval and Recall Workflows

Policy documents have a wide range of lengths. Logical connections of core clauses must not be broken when chunking long documents. Single-batch recall volume must fit the context limits of long texts. Documents include clear hierarchical fields, so retrieval must prioritize precise matching of clause hierarchies, and cover metadata dimensions such as document number and effective date. Data update cadence aligns with policy changes, so incremental synchronization of the knowledge base must match policy release cycles to avoid recalling outdated content. Each document has clear clause hierarchies, so recall results must retain the original clause attribution to ensure the accuracy of cited basis during Q&A.

Configuration Settings

Reference only; verify against the target FastGPT release and deployment documentation.

Three Common Misconfigurations

• Phenomenon: After uploading a PDF policy document, search tests return no results and the interface displays an error. Cause: Document headers and footers (document number, page number) are incorrectly identified as invalid content, or the file was not correctly bound to the exclusive policy knowledge base collection.
• Phenomenon: After the knowledge base is split into multiple chunks, the number of query results is far lower than expected. Cause: The limit parameter value is too low, failing to recall enough relevant chunks, or chunking breaks the hierarchical connection of policy clauses.
• Phenomenon: Q&A performance when using a local model is poorer than when using an API model. Cause: The datasetSearchUsingExtensionQuery feature is not enabled, so synonymous expressions for professional terms related to power grid policies cannot be covered, leading to insufficient relevance of recall results.

How to Confirm Proper Configuration

• Upload a test power grid policy document, run a search test, and check if the number of returned results matches the limit parameter setting.
• Check the similarity scores of recall results, confirm that the scores fall within the preset range of the similarity parameter.
• Compare recall rankings with and without usingReRank enabled, confirm that the reordering function works correctly.
• Verify the incremental sync function: After uploading a new policy file, the new content can be retrieved via search test.

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.