What data looks like for this category
Feed investment research data sources include public research reports released by the national feed industry association, real-time quotes from third-party spot trading platforms, and internal production ledgers of feed production enterprises. Data update frequencies range from real-time to monthly. Spot quotes are updated daily. Industry research reports are released weekly or monthly. Internal enterprise ledgers are synchronized in real time with production progress. Document types include structured CSV quote tables, PDF-format research reports, and unstructured production logs. Fields mostly cover raw material identifiers, physical and chemical indicators, transaction parameters, and application scenarios. Units are mostly yuan/ton, grams/kilogram, and similar units.
What constraints do these characteristics impose on knowledge base retrieval and recall
Multi-source data with mixed update frequencies requires the retrieval system to support a combination of incremental synchronization and full indexing. This prevents expired data from appearing in search results. Mixed structured and unstructured document types require the retrieval system to support both precise field matching and semantic fuzzy search. The diversity of fields and units requires the retrieval system to allow custom configuration of field weights. It also requires filtering invalid results with mismatched units. The wide range of document lengths requires the chunking strategy to adapt to documents of different lengths. This avoids semantic fragmentation or reduced embedding accuracy.
How to set configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
chunk_length | 800–1200 characters | Feed data includes short quote lines and long research report paragraphs. This range covers the effective information density of most documents, avoiding semantic fragmentation from overly small chunks or reduced embedding accuracy from overly large chunks |
similarity_threshold | 0.72–0.80 | Feed investment research data contains a large number of professional terms and associated fields. A threshold that is too low will introduce irrelevant raw material or market data, while a threshold that is too high will miss relevant formula adjustment suggestions |
recall_count | Top 8–12 results | Investment research decisions require reference to multi-dimensional data, including raw material prices, component indicators, and industry policies. Sufficient recall results can cover multi-scenario needs |
incremental_sync_toggle | Enabled | Feed spot quotes are updated daily. Enabling incremental synchronization avoids excessive time spent on full indexing, and ensures the timeliness of retrieved data |
field_retrieval_weight | Set procurement price and crude protein content fields to 1.5, and all other fields to 1.0 | Raw material prices and components are core decision-making basis in investment research scenarios. Increasing their weight can prioritize highly relevant results |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Some large feed industry research report PDFs contain multi-page tables and images. This duration covers the parsing needs of most documents |
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. Specific issues require specific analysis, and testing on local samples prior to finalization is recommended.
Three common configuration errors
- Symptom: After uploading a new feed raw material quote table to the knowledge base, no matching results appear when searching for relevant keywords. Cause: The incremental synchronization toggle is not enabled, only a full index is executed, and new data is not loaded into the retrieval index database.
- Symptom: After importing a CSV-format feed procurement template, Chinese field content is displayed as garbled text, while English content is normal. Cause: The template file uses GBK encoding, and UTF-8 is not used. Incorrect encoding identification during parsing leads to Chinese garbled text.
- Symptom: Search results return both yuan/ton and US dollar/ton quote data, and invalid unit content cannot be filtered. Cause: Field retrieval weights are not configured, or unit fields are not standardized, leading to failure to filter results with mismatched units during retrieval.
How to verify correct configuration
- A test feed spot quote CSV file is uploaded, target raw material keywords are entered to run a search, and returned results are checked to confirm they contain matching content for corresponding fields.
- The update time of a test data set is modified, an incremental synchronization operation is performed, the data keyword is searched again, and confirmation is made that the new data can be recalled normally.
- The knowledge base storage statistics panel is viewed, and storage proportions of original files, split chunks, and embedding vectors are checked to confirm they match the configured retention strategy.
- A test template encoded in GBK is imported, Chinese content display is checked, and confirmation is made that the encoding configuration has been adjusted to UTF-8.
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.