What the data for this category looks like
Feed industry research reports primarily come from monitoring data released by the Animal Husbandry and Veterinary Bureau of the Ministry of Agriculture and Rural Affairs, regular reports from domestic listed feed enterprises, special research reports from securities firms’ agriculture, forestry, animal husbandry and fishery teams, and monthly supply and demand briefings from industry associations. Most updates follow a monthly regular schedule. Temporary supplementary documents are released during major raw material price fluctuations or policy adjustments. Most documents include structured tables such as raw material quotes and production capacity proportions, as well as paragraph-based analysis. Core fields include raw material unit price (unit: yuan/ton), compound feed production (unit: 10,000 tons), formula cost proportion, and others. Some documents include chart segments that compare historical data.
Constraints Imposed on Document Parsing and Chunking
The multi-structured table feature of feed industry research reports requires the parsing process to prioritize retaining table row and column structures. Directly breaking tables into plain text will lose the association between core business fields such as raw material prices and production capacity. Core fields have clear units. When chunking, retain the binding relationship between units and corresponding values. Separating units and values after splitting will harm semantic accuracy during retrieval. The update frequency of temporary supplementary documents is irregular, and some documents are relatively short. Adapt chunking logic for short documents to avoid excessive splitting that breaks context. Some research reports include chart segments with historical data. Identify text descriptions linked to charts to avoid missing analysis context corresponding to the data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_STRATEGY | preserve_structure | Feed industry research reports contain a large number of structured tables. Retaining row and column structures prevents loss of association between core business fields |
CHUNK_SIZE | 800–1200 characters | Feed industry research reports include both long-form industry analysis paragraphs and compact table segments. This range balances context completeness and retrieval granularity |
CHUNK_OVERLAP_RATE | 10%–15% | Core business data such as formula cost proportion may be mentioned across paragraphs. The overlap rate ensures associated context is not forcibly truncated during retrieval |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Some large feed industry research reports include multi-page charts and nested tables. Sufficient parsing time must be reserved to complete full extraction |
ENABLE_TABLE_TEXT_EXTRACT | true | Unit information in tables of feed industry research reports is tightly bound to values. Enabling table text extraction fully retains the correspondence between fields and units |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- After custom chunking and storage in the knowledge base, duplicate blocks are automatically deleted, resulting in a mismatch between the preset retrieval index order and actual storage order. Cause: Document deduplication logic is enabled by default, and the deduplication configuration was not adjusted for structured segments of feed industry research reports.
- Table data returned after parsing feed industry research reports is empty, or only displays scattered text. Cause: Table recognition parameters were not enabled, or an incorrect table parsing strategy was selected, leading to failure to correctly extract nested tables and cross-page tables.
- Real-time parsing status cannot be obtained after calling the parsing API, making it impossible to determine whether document chunking is complete. Cause: The status callback parameter was not enabled in the API request, or the interface permission for status query was not configured.
How to Confirm Proper Configuration
- Upload a feed industry research report document containing typical structured tables, check the parsed text structure to confirm that the table row and column structure is fully retained.
- Run a chunking test, verify that generated chunks retain the binding relationship between raw material prices and corresponding units, with no separation of units and values after splitting.
- View the chunk list in the knowledge base, confirm that the order of custom chunks matches the actual stored chunk order, with no missing chunks caused by automatic deduplication.
- Call the parsing status query interface, verify that real-time status information such as parsing in progress, ready, and parsing failed can be retrieved.
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.