What the Data for This Category Looks Like
Paint and ink research report data comes from four main sources: public reports from industry associations, annual technical reports from listed paint and ink enterprises, segmented analysis documents from third-party chemical consulting institutions, and compliance standard documents released by environmental protection regulatory authorities. Update timing adjusts based on industry milestones. Regular research reports update quarterly. Supplementary documents release temporarily when environmental policies shift or raw material prices fluctuate. Most documents use PDF format. They contain structured tables, semi-structured formula parameters, and process flow diagrams. Fields include raw material brand numbers, VOC emission limits, and production process parameters. Common units are yuan/ton, mg/m³, and 10,000 tons/year.
Constraints on Knowledge Base Retrieval and Recall
Research reports contain large numbers of structured tables and specialized terms. Conventional text chunking breaks the semantic integrity of tables. Enable table parsing mode to preserve data structure. Individual documents have long lengths. Adjust chunking parameters to balance semantic integrity and context window usage. Avoid overly short chunks that cause semantic breaks, or overly long chunks that add unnecessary redundancy. Dense specialized terms require domain-specific word segmentation rules. This prevents incorrect splitting of technical terms. Data updates follow irregular industry milestones. Configure incremental synchronization rules to support non-fixed frequency updates. Embedded vector images in research reports cannot have their text extracted by conventional parsing engines. Enable the vector image parsing switch to extract this text.
Configuration Recommendations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Adapts to the large number of structured tables such as raw material prices and production capacity in research reports, preserving table semantic integrity |
CHUNK_SIZE | 1200–1500 characters | Balances single-chunk semantic integrity and context window usage, adapting to long paragraphs and table blocks in paint and ink research reports |
RECALL_TOP_N | top 8–10 results | Covers scattered specialized data points in research reports, avoiding missed segmented parameters |
SIMILARITY_THRESHOLD | 0.72–0.78 | Filters low-relevance general chemical term results, retaining content strongly matched to paint and ink segmented scenarios |
PARSE_VECTOR_IMAGE | Enabled | Parses embedded process flow diagrams and formula table vector images in research reports, extracting embedded text information |
UPLOAD_FILE_MAX_SIZE | 200 MB | Adapts to the upload requirements of single long research reports, avoiding parsing timeouts for large files |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- A transcoding timeout or network failure occurs during knowledge base upload. The interface displays "file parsing timeout" or returns a 504 status code. The root cause is failure to adjust the
PARSE_FILE_TIMEOUT_SECONDSparameter. The default duration is insufficient to handle parsing of long paint and ink research reports. - Feishu knowledge base fails to sync PPT or PDF documents. The document list appears empty after synchronization. The root cause is failure to enable the
PARSE_PDF_ENABLEandPARSE_PPT_ENABLEconfiguration items. The default setting only supports synchronization of plain text format files. - When deploying FastGPT version 4.9.0 locally, no image understanding model option appears when creating a new knowledge base. The corresponding configuration item is missing from the settings page. The root cause is failure to pre-install the corresponding OCR plugin package. This module is not integrated by default in this version.
How to Verify Proper Configuration
- Upload a single PDF paint and ink research report with more than 50 pages. Wait for parsing to complete, then view the chunk preview. Confirm that text from tables and embedded vector images is extracted correctly.
- Trigger a Feishu knowledge base synchronization task. Check the synchronization log to confirm that PPT and PDF format documents are included in the synchronization entries. Confirm no empty list errors occur.
- Submit a segmented scenario query, such as "VOC emission requirements for acrylic emulsions for coatings". Check the similarity scores of the recalled results. Confirm that result matching meets the preset threshold.
- Enter the system parameter configuration page. Verify the enabled status of key configuration items such as
PARSE_TABLE_ENABLEandPARSE_VECTOR_IMAGE. Confirm that parameter values match preset requirements.
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.