What the Data for This Category Looks Like
Condiment investment research data sources include China Condiment Association public datasets, regular reports of listed condiment enterprises, offline supermarket POS sales records, and daily price lists from raw material suppliers. Update cadence varies by dimension: raw material quotes are updated daily, monthly sales reports are released each month, and annual industry white papers are updated quarterly. Most documents are structured tables and text paragraphs with defined fields. Core fields include individual product specification parameters, regional sales share, and cost breakdown items. Units include milliliters, yuan, percentage, tons, and others. Regional sales detail documents typically have long text lengths.
Constraints Imposed on Knowledge Base Retrieval and Recall
The multi-dimensional structured characteristics of condiment investment research data require retrieval systems to support both structured field matching and full-text semantic recall. Regional sales detail documents typically have long text lengths, with some content blocks exceeding standard thresholds. This creates requirements for boundary determination during chunking. There are numerous segmented fields for this category. Different SKUs have clear differences in parameters such as amino acid nitrogen content and net content. Precise field matching is required to avoid recalling irrelevant category data. Frequently updated raw material quote data requires recall systems to prioritize pulling the latest version of datasets, to prevent expired information from affecting investment research conclusions.
Configuration Settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the paragraph length of most condiment documents, avoids semantic segmentation bias caused by overly long single chunks, and reduces redundant fragments after chunking |
similarityThreshold | 0.72–0.85 | Meets the precision requirements for condiment category segmentation, avoids recalling content from non-target SKUs or unrelated categories |
rerankTopN | Top 6–10 results | Covers the multi-dimensional data required for most investment research scenarios, while controlling the load on the context window |
refreshInterval | Every 1–24 hours | Adapts to the update cadence of different data sources; set to 1 hour for raw material quote data sources, and 24 hours for industry report data sources |
maxContext | 4000–6000 characters | Accommodates chunked content from multiple condiment documents, prevents retrieval results from being truncated due to context overflow |
fieldFilterEnable | Enabled | Enables precise matching of structured fields, for example, only recalling soy sauce data with amino acid nitrogen content ≥0.8g/100ml |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: After setting the single-chunk reference limit to 1500 characters, document blocks exceeding this length are still recalled and referenced. Cause: Automatic chunking configuration is not enabled, or chunking parameters are set to values greater than 1500 characters, leading to long documents not being properly split.
- Symptom: A "Cannot convert undefined or null to object" error is returned after running the knowledge base retrieval node. Cause: No field filtering rules are configured, or retrieval keywords do not match valid structured fields, leading to empty results that cannot be converted into valid objects.
- Symptom: When creating a condiment knowledge base in the open-source version 4.8.11, the process hangs. Ollama logs prompt "try reducing the size of the batch". Cause: The number of documents processed in batches or the length of single chunks exceeds the default threshold of the current version, and corresponding parameters are not adjusted to adapt to the overall length of condiment documents.
How to Verify Proper Configuration
- Upload a single condiment sales detail document, and check if chunked block lengths fall within the configured
chunkSizerange. - Enter retrieval keywords that include specific SKU parameters, and verify that recall results only include relevant content from the target category.
- View the knowledge base update log to confirm that data sources automatically update content according to the configured
refreshInterval. - Run a workflow that includes knowledge base retrieval, and check that returned retrieval results are non-empty valid objects with no type conversion errors.
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.