What the Data for This Category Looks Like
The data for refractory material intelligent due diligence reports primarily comes from production enterprise qualification filing documents, test reports issued by third-party quality inspection institutions, kiln operation logs, raw material purchase ledgers, and industry compliance public information.
Data update cycles are split into two types: regular quarterly updates and temporary fluctuation updates. Regular updates include quarterly quality inspection data and annual capacity reports. Temporary updates correspond to raw material composition changes or compliance adjustment notices.
Document structures fall into two main categories: structured inspection forms, and unstructured production logs plus bidding documents. Core fields include refractoriness, compressive strength, bulk density, and others. Their corresponding units are degrees Celsius, megapascals, and grams per cubic centimeter.
Constraints Imposed on Vector Models and Indexing
The mixed structure of structured inspection forms and unstructured logs requires vector models to support both structured field encoding and natural language semantic encoding. This prevents a single model from failing to cover the semantic features of both data types.
The frequent update cycle requires indexes to support incremental refresh. This avoids full indexes repeatedly processing already parsed historical data.
Fields have clear physical units. Unit information must be retained during text cleaning to ensure semantic consistency. This prevents vector matching deviations caused by missing units.
The length difference between long documents and short forms requires chunking strategies to adapt to the semantic integrity needs of different documents. This avoids breaking the semantic association of professional parameters with overly short chunks.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the common paragraph length of refractory material quality inspection reports and production logs, balancing semantic integrity and vector encoding accuracy |
chunkOverlap | 100–150 characters | Retains overlapping content between adjacent chunks, preventing professional parameters such as refractoriness and chemical composition from being split across chunks |
similarityThreshold | 0.72–0.85 | Meets the semantic similarity accuracy requirements for refractory material professional parameters, filtering low-correlation search results |
recallTopK | Top 10 entries | Covers the multi-dimensional parameter information required for due diligence reports, preventing content loss caused by insufficient recall volume |
indexRefreshInterval | 3600 seconds | Adapts to the regular quarterly update cycle. Temporary updates can manually trigger a full index refresh |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Adapts to the parsing time of long production logs, preventing document parsing failures caused by timeout interruptions |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Server crashes after batch uploading a large number of documents. After restart, the knowledge base status shows "Index Not Ready". Manually triggering the index has no response, or search returns no results. Cause: Incremental indexing mechanism is not configured. The full index fails to complete after large batch uploads. Index cache is lost after restart, requiring re-execution of the full indexing process.
- Symptom: After upgrading to version 4.9-4.10, existing knowledge base vector searches return empty results. Logs show an
embedding model mismatcherror. Cause: The vector model binding configuration is reset after version upgrade. The encoding requirements for refractory material data are not re-adapted. - Symptom: Search results only return 2 entries, far below the expected parameter coverage. Cause: The
recallTopKparameter is incorrectly set to 2, failing to adapt to the multi-dimensional information recall requirements for refractory material due diligence.
How to Confirm Proper Configuration
- Upload a single refractory material quality inspection report. Verify that the character count of parsed chunks falls within the
chunkSizeconfiguration range. - Trigger a batch indexing task. Monitor server operation logs. Confirm there are no
PARSE_FILE_TIMEOUTerrors and index progress updates normally. - Enter a professional search query such as "refractoriness 1700℃". Check that the similarity scores of returned results meet the
similarityThresholdconfiguration requirements. - Restart the server. Confirm that the knowledge base status automatically switches to "Ready" without requiring manual index triggering.
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.