Coal-Electric Integration Work Consultation and Response: Knowledge Base Retrieval and Recall

Coal-Electric Integration Work Consultation and Response: Knowledge Base Retrieval and Recall

What the data for this category looks like

Coal-electric integration work consultation data mainly comes from mine production ledgers, power generation dispatch logs, safety compliance documents, and internal work process manuals. Updates occur immediately when major equipment changes or policy adjustments take place. Routine operation documents are updated monthly. Most documents are structured operation guides, approval forms, and equipment parameter tables. They contain fields such as operation number, equipment model, and safety threshold. Common units include tons, megawatts, and hours. Some documents include cross-module process association information.

Constraints imposed on knowledge base retrieval and recall

High proportions of structured documents require retrieval to balance semantic matching and exact field matching. This prevents retrieval of irrelevant parameters. Uneven update frequencies require flexible index trigger rules. These rules adapt to the difference between immediate and monthly updates. Most work consultation focuses on process nodes and equipment parameters. Retrieved results must include complete approval chains and accurate unit matching. Long document chunking must retain field associations. Losing contextual connections after chunking will reduce the accuracy of work consultation responses.

How to configure the system

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

Configuration ItemRecommended ValueRationale
similarity0.72–0.80Matches process and parameter-related questions for work consultation, balances retrieval precision and coverage, calibrated based on actual testing
limitTop 8 entriesCoal-electric integration documents are mostly categorized by business module; 8 entries can cover the needs for process nodes and equipment parameters in a single scenario
searchModehybridBalances semantic matching and exact field matching, adapts to mixed document types of structured and unstructured content
usingReRankEnabledOptimizes retrieval ranking after long document chunking, avoids irrelevant chunks interfering with accurate responses to work consultation
datasetSearchUsingExtensionQueryDisabledWork consultation mostly consists of clear process or parameter queries, no query extension is needed to avoid retrieving irrelevant content
collectionIdsSpecified by business moduleDistinguishes knowledge bases for different businesses such as mine production, power generation dispatch, compliance approval, etc., to avoid cross-module retrieval interference

Three common configuration mistakes

  • Phenomenon: A 60-second timeout error occurs when switching the knowledge base index. Cause: collectionIds are not split by business module, leading index reconstruction to cover all coal-electric integration documents and take excessively long.
  • Phenomenon: The knowledge base shows continuous training or reconstruction status for more than 24 hours, and the index cannot be switched. Cause: Incremental update trigger rules are not configured, and full reconstruction is not executed in batches.
  • Phenomenon: Online conversations continuously search the knowledge base without a response. Cause: The limit parameter is not restricted, and excessive retrieval of long document chunks causes context overflow, making normal response generation impossible.

How to verify the configuration is correct

  • Initiate a query related to coal-electric equipment parameters, and verify that retrieved results include accurate equipment models and corresponding units.
  • Manually trigger an index update for a single business module, confirm that the update time meets expectations, with no long-term unresponsive status.
  • Switch the collectionIds for different business modules, confirm that only content from the corresponding module is retrieved, with no cross-module interference.
  • Check the usingReRank switch status, initiate a long process query, and confirm that retrieved results are ranked according to business priorities.

The values provided here 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.