What the Data for This Category Looks Like
Data related to packaging and printing due diligence mainly comes from public industry association reports, internal enterprise production ledgers, raw and auxiliary material purchase vouchers, compliance test reports, and order delivery records. The data update rhythm varies by dimension: raw and auxiliary material prices and industry standards are updated monthly, production process parameters are updated weekly, and compliance test reports are updated quarterly. Most documents are semi-structured tables and multi-page reports, containing fields such as raw and auxiliary material model, grammage, unit purchase price, production speed, ink ratio, quality inspection batch number, pass rate, etc., with corresponding units including g/㎡, m/min, yuan/ton, and others.
What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall
Semi-structured table and report documents require the retrieval system to support field-level precise matching, to match the structured field features within documents and avoid parameter mismatch results caused by relying solely on full-text similarity retrieval. Classified data with different update frequencies requires the knowledge base to support incremental synchronization triggered by data type; full synchronization will occupy a large amount of computing resources and cannot adapt to the monthly, weekly, and quarterly update rhythms. Specific units attached to fields require retaining unit information during retrieval to avoid confusing paper marked "150g/㎡" and film marked "150g". The existence of long documents requires the segmentation strategy to adapt to the document structure, avoiding splitting complete parameter paragraphs across processes.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Segment Length | 800–1200 characters | Most packaging and printing due diligence documents are semi-structured reports. A single segment needs to contain complete process parameters or raw and auxiliary material entries, to avoid splitting cross-field paragraphs |
Similarity Threshold | 0.72–0.80 | Packaging and printing fields are mostly standardized parameters, requiring a high matching degree to avoid recalling irrelevant raw and auxiliary material models or process data |
Number of Recalled Entries | Top 8 entries | Due diligence reports need to verify multiple sets of parameters, which should sufficiently cover the three core types of data: raw and auxiliary materials, processes, and quality inspection |
Incremental Synchronization Trigger Condition | Triggered by data category: raw and auxiliary material data monthly, production data weekly | Matches the update frequencies of different category data, avoiding invalid full synchronization |
Field Matching Switch | Enabled | Packaging and printing due diligence documents contain multi-field structured data. Enabling this allows precise field-level recall |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Some enterprise ledger documents have a large number of pages, with long parsing time, to avoid interrupting parsing tasks due to timeout |
The parameter values provided on this page are all conventional recommendations used to determine the 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 the settings.
Three Common Misconfigurations
- Phenomenon: After setting a custom delimiter, the segmentation result either merges multi-page production ledger paragraphs or splits a single raw and auxiliary material entry into multiple fragments. Cause: The segmentation length is not adjusted based on the semi-structured characteristics of packaging and printing documents, and relying solely on custom delimiters causes the splitting logic to mismatch the document structure.
- Phenomenon: After submitting a Chinese retrieval request, no English compliance standard documents in the knowledge base are recalled. Cause: Multilingual retrieval adaptation is not enabled, or English documents are not chunked and vectorized during knowledge base import, resulting in English text not being matched correctly.
- Phenomenon: Retrieval results include entries with mismatched units, for example, recalling paper marked "150g/㎡" and film marked "150g". Cause: Field-level unit matching configuration is not enabled, and relying solely on full-text similarity retrieval causes unit information to be ignored.
How to Verify Correct Configuration
- Upload a single raw and auxiliary material report document, check whether the segmentation result completely retains a single entry without cross-field splitting or merging.
- Submit a retrieval request containing a specific unit, for example, "120g/㎡ coated paper purchase price", check whether the recalled results include entries with matching units.
- Trigger an incremental synchronization task, check whether the knowledge base only updates documents of the specified category and does not trigger full re-parsing.
- Enable retrieval logs, check whether the similarity scores of recalled results fall within the preset threshold interval, with no irrelevant entries with excessively low scores.
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.