Deployment and Upgrade for Refractory Material Research Report Retrieval

Refractory material research reports are core research materials for the financial industry’s building materials sector. These reports primarily

What This Category of Data Looks Like

Refractory material research reports are core research materials for the financial industry’s building materials sector. These reports primarily originate from public industry association reports, technical white papers from upstream raw material manufacturers, and procurement analysis documents from downstream enterprises including steel and building material producers. Updates follow a quarterly routine for standard reports, with temporary supplementary documents released alongside raw material price fluctuations and industry policy adjustments. Most documents are in PDF format, ranging from tens to hundreds of pages per single report. Core fields include material grade, Al₂O₃ content, bulk density, and compressive strength. Corresponding units are none, %, g/cm³, and MPa respectively. Some documents also include structured tables covering production capacity and cost proportion.

Constraints Imposed on Deployment and Upgrade

The data characteristics of this category impose three constraints on the deployment and upgrade workflow:

  1. Multi-source heterogeneous data sources require configuration of multi-source incremental synchronization rules during deployment, and adaptation of parsing protocols for new data sources during upgrades.
  2. Long documents with nested structured tables require adjustment of document parsing segmentation strategies during deployment, and updates to table extraction model accuracy during upgrades.
  3. Professional fields with specific units require configuration of field standardization rules for vector database entry during deployment, to avoid retrieval result deviations caused by unit confusion.

Configuration Settings

Configuration ItemRecommended ValueRationale
PARSE_FILE_TIMEOUT_SECONDS600 secondsRefractory material research reports are mostly long documents with nested tables. 600 seconds covers parsing time requirements for most single documents
UPLOAD_FILE_MAX_SIZE1000 MBSingle research reports may exceed hundreds of pages. Allowing large PDF uploads avoids truncation of critical technical parameters
maxContext8000–12000 charactersResearch reports contain multiple sections of professional content. Longer context retains complete technical parameters and logical connections
Recall CountTop 8–12 resultsProfessional parameters are scattered across different sections. An appropriate number of recall results covers core information points and avoids overly scattered retrieval outcomes
Similarity Threshold0.75–0.85Semantic matching for professional terms requires balancing precision and recall rate. This interval balances effective content recall and irrelevant information filtering
SYNC_INTERVAL_HOURS24 hoursStandard research report updates follow a quarterly frequency. Daily incremental synchronization covers the needs of temporary updates

The parameter values provided on this page are general recommendations for establishing configuration starting points. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. Testing on local samples prior to finalizing values is recommended.

Three Common Mistakes

  • Symptom: After deployment, the login interface displays "Incorrect username or password" and system access is blocked. Cause: Environment variables ADMIN_USERNAME and ADMIN_PASSWORD were not configured correctly during offline deployment, or configurations failed to persist after container restart.
  • Symptom: In an offline deployment environment, text extraction results are empty after uploading a research report. Cause: Local document parsing model images were not loaded during offline deployment, causing the parsing process to interrupt.
  • Symptom: When deploying with Docker Desktop on a Mac device, container startup fails and returns a "permission denied" error. Cause: Local mount directory permissions were not configured for container access, or port conflicts with other local services were not resolved.

How to Confirm Configuration Is Successful

  • Upload a locally stored refractory material research report PDF, and check the parsed text for complete professional parameters and table structures to confirm parsing configurations are active.
  • Run a manual data source synchronization task, and check backend logs to confirm synchronization succeeded and newly added research report content was added to the vector database.
  • Initiate a retrieval query for refractory material parameters, and check if the number of returned results and similarity scores match the preset recall rules. Adjust corresponding configuration items to correct deviations.
  • Test access and retrieval functionality from a non-deployment device using a login-free link, to confirm the deployed service is properly exposed externally and permission configurations are correct.

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.