What this category of data looks like
Power grid equipment research report data mainly comes from industry updates released by power industry associations, equipment track analysis reports from broker research institutes, public bidding and procurement documents of grid enterprises, and technical white papers and product manuals of equipment manufacturers. Update rhythm follows industry policy releases, quarterly industry reviews, and equipment bidding cycles. There is no fixed frequency, but core policy documents are synchronized for updates. Most documents include fields such as equipment model, rated voltage, rated capacity, manufacturer, and bidding batch. Units include kV, MVA, tons and other power equipment-specific measurement units. Some long documents include technical parameter tables and project case details.
Constraints Imposed on Retrieval and RAG Workflows
The multi-source, multi-format nature of power grid equipment research reports requires the retrieval system to adapt to parsing rules for multiple document formats including PDF, Word, and Excel. This ensures complete extraction of content from bidding tables and technical parameter pages. The binding relationship between dedicated measurement units and fields requires semantic matching during retrieval, rather than relying solely on keyword matching. This avoids recall results where model numbers and units do not align. The presence of long documents and continuous parameter paragraphs requires retaining context integrity during chunking, to prevent loss of critical parameter information after splitting. The irregular update rhythm and time-sensitive nature of some documents require support for incremental indexing and scheduled synchronization configurations. This avoids recalling expired bidding or policy data.
Configuration Settings
| Config Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Power grid equipment research reports often include high-definition equipment drawings and multi-page parameter tables. The single-file limit must accommodate large-volume documents |
Chunk size | 1000–1500 characters | Power grid equipment documents often contain continuous parameter paragraphs. This length preserves complete context for model numbers, units, and technical descriptions |
Recall count | Top 8–12 results | Research report retrieval needs to cover multi-dimensional technical parameters and project cases. This range balances retrieval comprehensiveness and result redundancy |
Similarity threshold | 0.75–0.85 | Power grid equipment terminology and units have strong semantic binding. A higher threshold filters irrelevant recall results |
PARSE_TABLE_ENABLED | Enabled | Structured parameter tables are common in power grid equipment documents. Enabling this extracts complete parameter fields and corresponding values |
AUTO_INDEX_DELAY | 300 seconds | For batch-uploaded research report documents, delaying indexing avoids server resource overload |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test on your own samples before finalizing values.
Three Common Misconfigurations
- Phenomenon: After uploading research report documents larger than 10 MB, some chunk vectorization fails, and a vectorization error prompt appears in the interface. Cause: The
Chunk sizesetting is not adjusted to accommodate long parameter paragraphs. Chunking breaks the binding between parameters and units, causing the vectorization model to fail to recognize complete semantic units. - Phenomenon: After batch uploading a large number of research reports, the server restarts, and the knowledge base status shows not ready, with no automatic indexing progress. Cause: The
AUTO_INDEX_RETRYparameter is not configured. After batch uploading triggers resource overload, the restart does not trigger an automatic retry mechanism, requiring manual indexing triggering. - Phenomenon: Embedded equipment drawings in imported research report documents cannot be displayed normally in retrieval results. Cause: The whitelist configuration for in-document resource external links is not enabled, or the image vectorization extraction function is not enabled, causing image metadata to not be indexed correctly.
How to Verify Proper Configuration
- Upload a single research report document that complies with the
UPLOAD_FILE_MAX_SIZEconfiguration, and confirm that the upload and parsing process has no error prompts. - Search for keywords that include power grid equipment-specific terminology and units, and verify that the recall results retain the associated context of model numbers, parameters, and units.
- Batch upload multiple research report documents, and confirm that server resources do not experience sustained overload, and the knowledge base automatic indexing process starts normally.
- Import a document containing embedded equipment drawings, and confirm that image resources load and display normally in retrieval results.
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.