What the data for this category looks like
Paint and ink investment research data sources include industry association public documents, raw material supplier quotation systems, listed companies’ R&D annual reports, patent databases, and terminal application research reports. Update cadences vary across data types: raw material quotations are updated daily, industry dynamics are synchronized weekly, annual R&D reports and compliance test reports are released annually or per project milestones, and patent data is indexed in real time. Document types include multi-page PDF compliance test reports, structured Excel quotation sheets, Word-formulated R&D documents, and patent texts. Data fields cover raw material physical property parameters, formula ratios, compliance indicators, and more. Common industry units include grams per liter, millipascal-second, mass fraction, and other standard measurements.
What constraints do these characteristics impose on deployment and upgrade
Multi-source heterogeneous data formats require adapting parsers for PDF, Excel, Word and other formats during deployment. General-purpose document parsing modules cannot fully handle all data types. High-frequency updated raw material data requires configuring an incremental synchronization mechanism during upgrades. This avoids excessive server load from full synchronization. Fixed professional fields and units require enabling field validation rules during deployment. This prevents retrieval result deviations from inconsistent units. Some documents use fixed format templates. Upgrade steps must support mapping rules for old and new templates. This avoids historical data parsing failures.
Configuration parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Paint and ink compliance test reports typically contain multiple pages of physical property data, which take longer to parse. This range avoids task interruptions due to timeouts |
UPLOAD_FILE_MAX_SIZE | 500-1000 MB | Some large formula R&D documents and bulk raw material quotation Excel packages have large file sizes. This range adapts to single-file upload limits |
maxContext | 8000-12000 characters | Investment research documents contain long-form formula descriptions and patent claims. Sufficient context must be retained for accurate recall |
Number of retrieved entries | Top 10-15 entries | Paint and ink investment research requires balancing data across raw materials, formulas, and compliance dimensions. Too many retrieved entries increase inference load, while too few lead to incomplete coverage |
Similarity threshold | 0.75-0.85 | Investment research data contains many professional terms. This range balances precise matching and synonym recall, avoiding missed relevant compliance standards or raw material replacement options |
INCREMENTAL_SYNC_INTERVAL | Every 6 hours | Raw material quotations are updated daily. Incremental synchronization every 6 hours ensures data timeliness while reducing server load |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: Ollama deployment parameters configured in FastGPT model thinking settings do not take effect. Model output does not match the preset logic for investment research scenarios. Cause: Parameter passthrough was not enabled when starting Ollama, and custom configuration items are not passed when FastGPT calls the model.
- Issue: After restarting Docker containers under Ubuntu, the SQL query associated with the knowledge base reports a
1044 Access denied for usererror. Cause: File permissions for the database mount volume were not persisted, and the container process cannot read the database data directory after restarting. - Issue: The deployed deepseek model only uses a single GPU, while another GPU resource remains idle. Cause: Multi-GPU scheduling parameters were not specified in the Ollama startup command, and the model loads exclusively to GPU 0 by default.
How to confirm successful configuration
- Upload a single paint and ink document that meets the maximum upload limit. Check that the parsing task completes within the configured timeout period with no abnormal errors.
- Trigger an incremental synchronization task. Verify that the data update range after synchronization matches the preset synchronization rules.
- Submit a professional investment research query. Check that the number of GPUs used for model calls matches the configured scheduling rules.
- Perform a cross-version upgrade operation. Check that the system logs have no configuration conflict errors after the upgrade, and old parsing templates load normally.
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.