What the data for this category looks like
Data sources for the chemical fiber category primarily include upstream raw material quotes from the petrochemical industry chain, industry supply and demand reports released by the China Chemical Fiber Industry Association, regular financial reports of listed chemical fiber enterprises, real-time product quotes from spot trading platforms, and customs import and export clearance data.
Update rhythms vary across sources: raw material and spot quotes are updated daily, industry supply and demand reports are released monthly or quarterly, and corporate financial reports are disclosed quarterly and annually.
Document structures are a mix of structured tables and semi-structured reports, with fields including product specification parameters (such as fineness, breaking strength), production capacity and output, cost composition, import and export volume and value, and more. Units include tons, yuan/ton, cN/dtex, 10,000 tons/year, and others.
What constraints do these characteristics impose on vector models and indexing?
The multi-source heterogeneous data structure and differentiated update rhythms of the chemical fiber category create multiple constraints for the vector models and indexing workflow.
First, documents mixing structured fields and semi-structured reports require vector models to encode both numeric fields and natural language text. This avoids losing the precise semantics of specification parameters when using a single encoding logic.
Second, the coexistence of daily updated spot quotes and low-frequency industry reports requires distinct trigger rules for incremental indexing and full indexing. This prevents repeated indexing of static data or missing real-time data.
Additionally, fields with multiple categories and units (such as production capacity units differing between products, including 10,000 tons/year and tons/year) require unit standardization before indexing. This stops semantic confusion in the vector space.
Finally, some long documents have wide content spans. A reasonable segmentation strategy is needed to retain context association.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segment_length | 800–1200 characters | Chemical fiber industry reports often contain long paragraphs of supply and demand analysis. This range retains complete logic within a single segment, avoiding splitting key information |
recall_count | Top 10–15 results | Chemical fiber investment research covers multi-dimensional data (raw materials, costs, supply and demand). 10–15 results balance recall coverage and retrieval efficiency |
similarity_threshold | 0.72–0.85 | Differentiate parameter differences between different products, avoiding confusing vector results of similar product names (such as polyester staple fiber and polyester filament) |
incremental_index_update_interval | 5 minutes | Aligns with the daily update requirement for spot quotes. A high-frequency interval synchronizes real-time price data in a timely manner |
VECTOR_BATCH_SIZE | 32–64 | Matches the number of fields in chemical fiber data. This batch size balances vector generation speed and server resource usage |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Prevents task failure due to parsing timeout when processing long-cycle industry reports |
The parameter values provided on this page are all 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 the settings.
Three common errors
- Calling the vector model interface returns a 400 status code with no response body. The cause is incorrect configuration of the model's request parameter format, or failure to synchronously update indexing call rules after an upgrade.
- Local deployment environments experience daily server read-write resource exhaustion. The cause is failure to limit concurrent batch counts for vector generation, and failure to set a traffic threshold for index writing. This leads to excessive disk and memory usage during high-frequency synchronization of real-time data.
- File uploads occasionally get stuck at 1 or 2 index progress groups. The cause is failure to enable segment splitting for long documents, where the number of vectors generated by a single file exceeds the carrying limit of index shards, or incomplete field standardization processing causes abnormal vector encoding.
How to confirm the configuration is correct
- Submit a test file containing chemical fiber spot prices and industry reports, and check that the vector generation task progress bar completes normally with no timeout errors.
- Retrieve historical and real-time data for the same product, confirm that recall results include field information for the corresponding category, and no results from unrelated categories appear after filtering via the similarity threshold.
- View the index management interface, confirm that incremental index update logs are generated at the preset interval, with no duplicate or missing index tasks.
- Check the server resource monitoring panel, confirm that resource usage for vector generation and index writing does not exceed the preset threshold, with no continuous peaks.
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.