What the Data for This Category Looks Like
The data for plastics and rubber financing daily reports is sourced from domestic bulk commodity spot trading platforms, public data from futures exchanges, and industry association survey materials. Updates are released each early morning, covering data from the prior trading day. Each document includes fields such as the current date, list of covered commodities, spot transaction prices for each commodity, futures settlement prices, warehouse receipt quantities, financing pledge balances, and margin trading and short selling balances. Units are yuan per ton, tons, and ten thousand yuan, respectively. Entries are organized by commodity, and the number of entries per document varies based on the report’s coverage scope.
What Constraints These Characteristics Impose on Vector Models and Indexing
The high-frequency update requirement means indexes must support incremental refreshes. This avoids resource consumption and latency caused by full index rebuilding. Multi-field structured numerical data requires combining vector retrieval with structured filtering. This prevents field confusion that occurs when relying solely on text vectors. The side-by-side multiple commodity entries per document requires retaining complete context for each individual commodity during segmentation. This prevents semantic interference across commodities. Differences in data source formats require preprocessing to align fields. This ensures text consistency during vectorization and reduces retrieval bias.
Configuration Settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Each commodity entry in plastics and rubber financing daily reports is approximately 200 characters. This range can cover complete context for 1 to 5 commodities, avoiding cross-commodity semantic confusion |
chunk_overlap | 50–100 characters | Retains association between key fields of adjacent segments, preventing core data such as prices and balances from being truncated |
vector_search_top_k | Top 10 results | Covers retrieval needs across multiple commodities, avoiding insufficient recall for single commodities |
similarity_threshold | 0.75–0.85 | Filters low-relevance cross-commodity or outdated data, and is suited for high-frequency updated daily report data |
batch_size | 16–32 | Adapts to batch processing capabilities of vectorization services, balancing retrieval speed and resource usage |
index_refresh_interval | 15 minutes | Matches the daily update business rhythm, supports incremental refreshes and avoids full index rebuilding |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material forms, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Incorrect parameter format returned by vectorization tasks, or unmet expected efficiency of batch vectorization. Cause: Incorrect configuration of batch upload parameters, only passing single text slices without using array format.
- Retrieval results include a large number of irrelevant commodity financing data, with recall count far exceeding the set threshold. Cause: Structured field filtering is not enabled, or the similarity threshold is set too low to effectively filter low-relevance content.
- Delayed incremental index updates, with the latest daily report data not synchronized within the set interval. Cause: The index refresh interval is configured too long, failing to match the daily update business rhythm.
How to Verify Correct Configuration
- Check the running logs of the vectorization service to confirm that each incoming text slice is in array format, containing multiple document fragments to be processed.
- Input keywords for a specific commodity to perform a simulated retrieval, and verify that the recalled result fields match the target daily report content.
- After adjusting parameters related to vector retrieval, confirm that the number of retrieval results changes in line with expected adjustment directions.
- Check index update records to confirm that daily updated daily report data completes synchronization within the set refresh interval.
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.