Citation Source and Traceability for Power Industry

What the data for this category looks like

Power industry investment research data sources include public statistical documents from the National Energy Administration, operation reports from provincial power grid companies, annual research reports from power industry associations, regional power market transaction data, and real-time power plant dispatch logs. Update frequencies vary significantly: real-time dispatch logs update every minute, monthly transaction data updates monthly, and annual industry planning documents update quarterly or annually. Document formats include structured tables (with fields such as installed capacity, power generation, and electricity price, with units MW, MWh, and yuan per thousand kWh), long-form policy interpretations, in-depth PDF research reports, and some data includes unique document numbers and version identifiers.

How these characteristics create constraints for citation source and traceability

The multi-source and decentralized nature of power industry investment research data requires the traceability link to record source institutions, document numbers, and version information simultaneously, to avoid mixing data from different channels. The difference in update rhythms between real-time data and historical reports requires traceability information to include precise timestamps for verifying data timeliness. The mixed document structure of structured tables and unstructured text requires traceability to support both table cell positioning and paragraph character offset recording. The fixed units for professional fields require retaining unit fields in traceability information to prevent ambiguous interpretation of professional data.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`chunkSize`	`4000–6000 token`	Power industry documents often contain long paragraphs and structured tables. This range can fully retain valid content and traceability identifiers for a single chunk, avoiding truncation of critical information
`retrieveTopK`	`10–15 entries`	Power industry investment research requires coverage of multi-source segmented data. Too many recalled entries will increase the burden of traceability organization, while too few will fail to cover core information. Adjust flexibly based on business scenarios
`similarityThreshold`	`0.72–0.85`	Power industry has dense professional terminology. A threshold that is too low will introduce irrelevant content, while a threshold that is too high will miss relevant segmented data. Calibrate through actual testing based on business scenarios
`rerankTopK`	`5–8 entries`	Power industry investment research has high effective information density. Retaining core results after reranking can control the length of traceability output, matching the upper limit requirements of citation context
`maxContext`	`1200–1800 characters`	Power data includes units and professional fields. Sufficient context must be retained to fully display traceability information, adapting to the citation upper limit rules of FastGPT 4.6.7
`enable_source_trace`	`Enabled`	Document source, chunk ID, page number/paragraph offset, and update time must be recorded to meet the multi-source traceability and version verification requirements of power data

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.

Three Common Misconfigurations

Phenomenon: In FastGPT 4.6.7, setting maxContext to 1500 characters still returns chunk content that exceeds the length limit. Cause: The chunk size is larger than the set maxContext value. When the chunk is fully recalled, it cannot be truncated, resulting in exceeding the citation upper limit.
Phenomenon: The number of knowledge base citation results does not match the set rerankTopK value. Cause: The retrieveTopK parameter was not adjusted synchronously. The number of recalled entries and the number of rearranged entries are not linked, leading to actual returned results that do not meet expectations.
Phenomenon: Citation results are not sorted by similarity priority. Cause: Custom reranking logic is enabled, or the similarityThreshold parameter is not set to filter low-relevance results, leading to disordered sorting priority.

How to Confirm Proper Configuration

Upload a power industry research report, and check whether the chunked traceability information includes fields such as document name, chunk ID, and paragraph offset.
Initiate a query related to power industry investment research, and verify whether the number of returned results matches the set rerankTopK value.
Adjust the maxContext parameter and initiate a test to confirm whether the returned context length matches the set value.
Check the system log to confirm that each returned result includes the source_trace field, and the field information is complete.

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.