Model Integration and Configuration for Plastics and Rubber

What the data for this category looks like

Plastics and rubber research report data mainly comes from industry association public reports, futures exchange market data, brokerage special research reports, and professional portal news. Update frequencies cover daily futures prices, weekly supply and demand reports, monthly industry operation data, and quarterly special analyses. Document structures include industry updates, supply and demand balance sheets, price trends (units are mostly yuan/ton, USD/ton), downstream application analysis (such as plastic products, tire manufacturing), and policy interpretations. Some research reports include industrial chain maps or batch data tables.

Constraints imposed by these characteristics on model integration and configuration

Differences in data formats across multiple sources require support for parsing multiple file types including PDF, Word, and Excel. Inconsistent fields and units (such as mixed price units for polyethylene across different reports) require the model to align units before answering, so clear field mapping rules must be defined in the prompt. Research report length varies widely, from hundreds of characters to tens of thousands of characters. Context window parameters must be adjusted to avoid content truncation. Frequently updated data requires configuring incremental synchronization mechanisms to reduce resource consumption from full crawling. Dense professional terminology (such as PE, PP, styrene-butadiene rubber) requires the model to accurately identify and associate corresponding category information.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`maxContext`	`8000–12000 characters`	Core content of a single plastics and rubber research report is approximately 5000-8000 characters. Reserve context space to avoid content truncation
`RECALL_TOP_N`	`Top 10–15 entries`	Moderate recall volume for segmented category research reports. Excessive volume increases inference load, insufficient volume fails to cover all relevant data
`SIMILARITY_THRESHOLD`	`0.75–0.85`	High volume of professional terminology, requires filtering low-relevance recall results to avoid confusion between similar categories (such as PE and PP)
`PARSE_FILE_TIMEOUT_SECONDS`	`120 seconds`	Large special research reports include multi-page data tables, which take longer to parse
`UPLOAD_FILE_MAX_SIZE`	`500 MB`	Some industry research reports include high-definition industrial chain maps or batch data attachments
`RERANK_TOP_N`	`Top 5–8 entries`	Retain the most relevant core research report content after reranking, improving answer accuracy

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Analyze specific issues on a case-by-case basis, and it is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

Phenomenon: Duplicate research report reference fragments appear in returned results, with messy formatting. Cause: The RERANK_TOP_N parameter is not set, and recall results are not reranked, leading to excessive redundant content.
Phenomenon: After uploading a DOC format research report, the interface displays "File parsing failed", and the log returns 500 Internal Server Error. Cause: The DOC_PARSE_ENABLE configuration item is not enabled in FastGPT 4.9 and above, or the corresponding parsing dependencies are not installed.
Phenomenon: A 401 Unauthorized error is returned when calling a model accessed via ONEAPI. Cause: The ONEAPI_API_KEY or ONEAPI_BASE_URL parameters are not configured correctly, leading to authentication failure.

How to Confirm Configuration Is Complete

Upload a single plastics and rubber weekly report with more than 5000 characters, check that the parsed text has no truncation, verifying that the context window configuration takes effect.
Import 10 research report files in different formats, confirm that all files can be parsed normally, verifying that the file size and timeout configuration are compatible.
Initiate a query for "2024 polyethylene price trends", check that the number of recalled research reports in the returned results meets expectations, verifying the recall and reranking configuration.
View the model call logs, confirm that there are no 500 or 413 type errors, verifying that the overall configuration has no conflicts.

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.