Data Characteristics of This Category
Power grid equipment research report data comes from public research materials from power industry associations, regular disclosure documents from publicly traded power grid equipment enterprises, and survey reports from specialized power equipment research institutions. Update cycles primarily follow quarterly deep reports and monthly dynamic tracking. Temporary supplementary documents are released when industry policies are adjusted or core products are updated. Each document typically includes core equipment parameter tables, upstream and downstream industrial chain analysis, and technical route interpretation sections. Fields include equipment model, rated voltage (unit: kV), rated capacity (unit: MVA), per-unit cost, and others. Data dimensions focus on equipment technical indicators and market tracking information.
Constraints Imposed on Tool Calling and Plugins
The multi-source nature of power grid equipment research reports requires tool calling to support structured parsing of multiple document formats, including PDF, Word, Excel, with a focus on extracting equipment parameters from tables. Differentiated update cycles require plugin configurations to support on-demand incremental synchronization, avoiding full-volume repeated pulls of redundant data. The field focus on technical parameters requires tool calling processes to retain associated unit information, preventing loss of key unit identifiers such as voltage and capacity during retrieval. The frequent release of temporary supplementary documents requires the plugin’s data source update link to have lightweight triggering capabilities, adapting to rapidly evolving industry information.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_MAX_ROWS | 100–200 rows | Power grid equipment research report parameter tables typically contain dozens of equipment entries. This range covers standard research report tables while avoiding parsing redundancy |
embedding_batch_size | 8–12 entries | Power grid equipment parameters include associated unit information. Small-batch embedding preserves contextual links between parameters and units, preventing semantic fragmentation |
recall_top_k | Top 10–15 entries | Single research reports contain many equipment parameter entries. A sufficient number of matching results must be recalled to cover parameter needs for different models |
plugin_sync_interval | Calibrated via actual testing | Power grid equipment research report update cycles vary. Adjust the synchronization interval based on the actual data source release cycle to avoid ineffective pulls |
parse_keep_unit | Enabled | Power grid equipment parameters rely on units (kV, MVA) for precise matching. Retaining units improves retrieval matching accuracy |
CONTEXT_WINDOW_LIMIT | 4000–6000 characters | Core parameter paragraphs of single power grid equipment research reports are typically lengthy. This window fully accommodates key technical descriptions and parameter table content |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Issue: Retrieval results returned via API do not include the cited research report file name. Cause: The
retrieve_show_sourceconfiguration item is not enabled, so the tool calling chain does not return data source metadata. - Issue: After configuring a custom plugin, power grid equipment research report data cannot be pulled, and the synchronization status shows failure. Cause: Structured parsing rules are not configured for Excel-format equipment parameter tables, so the plugin cannot extract valid fields.
- Issue: A 403 permission error is returned when calling the knowledge base interface with an application key. Cause: The application key is not bound to the tool calling permission group, or the key does not have call permissions for the corresponding interface.
How to Confirm Proper Configuration
- Upload a table document from a power grid equipment research report, check if the parsed structured data includes fields such as equipment model and rated voltage, and confirm that the parsing rules match the document structure.
- Initiate a tool calling test, check if the returned results include the data source file name, and confirm that the
retrieve_show_sourceconfiguration item is correctly enabled. - Call the embedding model interface, verify that the returned vector data format meets expectations, and confirm that the model calling link is not affected by one API forced proxy.
- Trigger a plugin synchronization task, check if the synchronization log shows successful pulling of the latest power grid equipment research report data, and confirm that the synchronization interval matches the data source update cycle.
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.