Citation Sources and Traceability for Plastics and Rubber

What data for this category looks like

Plastics and rubber due diligence data primarily comes from industry association official bulletins, customs import and export statistical reports, spot market quotation platforms, and public data from futures exchanges. Data update cycles vary: spot quotations are updated per trading day, monthly production capacity and import and export data are updated every ten days or monthly, and annual industry white papers are released quarterly. Document structures often include segmented category parameters, such as full latex for natural rubber, styrene-butadiene rubber grades for synthetic rubber, and high-density/low-density classifications for polyethylene. Fields include transaction units (yuan/kilogram, US dollars/ton), production capacity units (10,000 tons), inventory data, and more. Some documents contain nested multi-page tables, and the binding relationship between fields and corresponding values must be preserved.

What constraints these characteristics impose on the "citation sources and traceability" link

Dispersed data sources and differing update cycles require clear labeling of the data publishing organization and update time during traceability, to avoid confusing spot and forward data from different cycles. Segmented category parameters are numerous and detailed, such as melt index for different plastic grades and tensile strength for rubber. Traceability must match specific fields, rather than broadly referencing "chemical industry data". The feature of nested tables in documents requires preserving the binding relationship between cells and corresponding text during parsing, otherwise specific quotation or production capacity entries cannot be located during traceability. Coexisting delayed customs data and real-time spot data requires distinguishing data timeliness during retrieval, to avoid mixing outdated historical data with current market data.

How to configure

Configuration Item	Recommended Value	Rationale
`recall_top_k`	`Top 8-12 entries`	Plastics and rubber data fields are segmented and each entry has moderate information volume. Too many retrievals will introduce redundant irrelevant segmented category data, while too few will miss key spot quotation or production capacity data
`similarity_threshold`	`0.72-0.80`	High precision is required for segmented category parameter matching. A threshold that is too low will introduce irrelevant data from the general chemical industry, while a threshold that is too high will fail to retrieve accurate business data for specific grades
`parse_chunk_size`	`600-800 characters`	Plastics and rubber documents often contain tables and parameter descriptions. An overly large chunk size will lose the binding relationship between fields and corresponding values, while an overly small size will split complete quotation cycles or production capacity statistical data
`enable_source_citation`	`Enabled`	Industry due diligence reports require clear labeling of data source organizations and update times, which complies with compliance requirements
`file_parse_timeout`	`120 seconds`	For versions V4.8.18 and above, the default value of this configuration item is 60 seconds, which cannot meet the parsing time requirements for large customs documents or industry reports, and must be adjusted to 120 seconds

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material forms, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.

Three common configuration mistakes

Phenomenon: Returned results do not carry any source tags. Cause: The enable_source_citation configuration item is not enabled, and the traceability marking function is not activated.
Phenomenon: Retrieval results are irrelevant to the query, and the source field is empty. Cause: The parse_chunk_size is set too small, which splits complete quotation batch data, making the parsed text unable to match query keywords.
Phenomenon: A 504 Gateway Timeout error occurs when parsing large customs documents. Cause: The file_parse_timeout is set to 60 seconds, which does not match the parsing time requirements for large documents.

How to confirm the configuration is correct

Upload a plastics and rubber spot quotation document, initiate a query that includes specific categories and prices, and check whether the returned results carry clear source organization and update time tags.
Adjust similarity_threshold to the 0.70 and 0.85 ranges, compare the matching accuracy of retrieval results, and confirm that the value range meets the parameter matching requirements of the category.
Import batch monthly industry association reports, wait for parsing to complete, check for timeout errors, and confirm that the file_parse_timeout value is reasonable.
View the knowledge base parsing logs, confirm that the field correspondence of each parsed chunk is complete, and that no data splitting or field loss has occurred.

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.