What this type of data looks like
Power industry research report data mainly comes from power industry associations, power grid enterprise research institutes, third-party power consulting institutions, and securities firm power research teams. Update frequency is adjusted based on industry trends. Temporary updates are triggered by policy releases, supply and demand fluctuations, and unit maintenance periods. Quarterly and annual full industry reports are released on a fixed schedule. Document structure includes title, issuing institution, release date, sub-sectors (thermal power, wind power, photovoltaic, etc.), core quantitative data, regional analysis, and risk warnings. Fields include installed capacity (unit: ten thousand kilowatts), utilization hours (unit: hours), on-grid electricity price (unit: yuan/megawatt-hour), coal consumption rate (unit: grams/kilowatt-hour), and other quantifiable items with clear units.
What constraints do these characteristics impose on knowledge base retrieval and recall
The multi-source, decentralized nature of power industry research reports requires the retrieval system to support compatibility with formatting differences across institutions, to avoid missing structured data during parsing. The combination of fixed-schedule and ad-hoc update cycles requires the recall module to support an update mechanism that combines incremental synchronization and full verification. Quantifiable fields with clear units require retrieval to match unit dimensions during retrieval, to avoid confusion across data categories. Documents contain a large number of structured tables for regional and sub-sectors; recall must extract core information from tables, rather than only extracting body text, to improve retrieval accuracy. Additionally, research reports cover multiple sub-sector tracks, requiring support for recall filtering by track.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Power industry research reports include long paragraphs of quantitative analysis and table-split content; this range can fully retain the associated logic of a single set of data |
recall_top_k | Top 8–12 results | Single power industry research report contains large amount of information; too many recall results exceed the context window, while too few cannot cover multi-dimensional analysis requirements |
similarity_threshold | 0.72–0.80 | Power industry terminology is highly professional; a relatively high similarity threshold is needed to filter irrelevant content, while retaining precise matching results for sub-sector tracks |
PARSE_TABLE_ENABLE | Enabled | Power industry research reports contain a large number of structured table data such as installed capacity and electricity price; enabling parsing can extract complete quantitative information |
incremental_sync_interval | Every 6 hours | Power industry has a relatively high frequency of dynamic updates; this interval balances synchronization overhead and data timeliness |
UPLOAD_FILE_MAX_SIZE | 500 MB | Covers the file size limit for most conventional large-scale full industry power research reports |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Retrieval results return a large volume of non-power sector research report content. Cause: Recall filtering rules by sector are not configured, or the similarity threshold is set improperly, leading to successful matching of irrelevant professional terminology.
- Phenomenon: Clicking a research report name on the frontend fails to jump to view the full content, or copied content has formatting errors. Cause: Structured storage after document parsing is not enabled, or the content interface called by the frontend is not associated with the parsed full text field.
- Phenomenon: After selecting a specified knowledge base, there are no optional values in the reference variable dropdown menu. Cause: No referenceable metadata fields are configured for this knowledge base, or metadata fields do not have the index switch enabled, causing the system to fail to read available variables.
How to Confirm Proper Configuration
- Upload a single specified power industry research report from a target sector, perform a retrieval test, check whether the sector tags of the recall results match expectations, adjust the corresponding filtering rules until the results meet requirements.
- View the knowledge base parsing log, confirm that table data is fully extracted without missing core quantitative fields, adjust parsing configuration until parsing results meet requirements.
- Manually select the target knowledge base, view the reference variable dropdown menu, confirm that configured metadata fields are displayed normally, adjust metadata indexing configuration until variables can be selected normally.
- Simulate an incremental synchronization task, view synchronization progress and update records, confirm that the update interval matches the preset configuration, with no missing or duplicate synchronized documents.
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.