What the data for this category looks like
Feed industry financial report data is sourced from public periodic enterprise reports, exchange temporary announcements, and industry association monitoring data. Updates follow fixed quarterly, semi-annual, and annual cycles, alongside temporary announcements triggered by raw material price fluctuations or business adjustments. Document structures include consolidated financial statements, segment revenue and cost breakdowns for the feed business, raw material procurement and capacity data modules. Common fields cover poultry feed sales volume, pig feed gross margin, average raw material purchase price, with units such as tons and ten thousand yuan. A complete standalone financial report can span dozens of pages. Segment-specific content is relatively independent and contains dense technical terms.
Constraints imposed on vector models and indexing
The multi-segment structure, dense technical terms, and high proportion of numeric fields in feed financial reports create multiple constraints for the vector model and indexing workflow. First, segment-specific content is relatively independent. Cross-segment vector confusion must be avoided, so chunking strategies must align with segment boundaries. Second, technical terms such as concentrated feed and compound feed require precise encoding. Vector models must adapt to text features specific to the agricultural breeding domain. Third, vector representations of numeric fields must retain their original semantic meaning. General-purpose models may introduce encoding bias, so this must be avoided. Fourth, the coexistence of periodic updates and temporary announcements requires indexes to support incremental synchronization and rapid updates.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Feed financial report segments have dense content. This avoids splitting table rows or core indicator units |
chunk_overlap | 100–150 characters | Preserves context for technical terms across chunks, preventing term splitting |
embedding_model | doubao-embedding-text-zh-v2 | Adapts to technical terms in the agricultural breeding domain, generating accurate industry text vectors |
top_k | 8–12 results | Covers core indicators across multiple feed financial report segments, avoiding redundant or missed recall |
similarity_threshold | 0.75–0.85 | Filters irrelevant content from non-target segments, improving matching accuracy for technical terms |
parse_table_mode | structured_table | Preserves field and numerical structure of feed financial report tables, enabling precise subsequent recall |
index_refresh_interval | 1 hour | Adapts to the periodic update cycle of feed financial reports, supporting incremental synchronization for temporary announcements |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Scenario: After index construction, the interface displays a not ready status, and recall requests cannot be initiated. Cause: The
index_refresh_intervalparameter is not configured, preventing automatic completion of incremental index synchronization verification. - Scenario: Calling the vector model returns an "unsupported model format" error. Cause: The
embedding_modelis set to a general-purpose Chinese model, rather than the domain-adapteddoubao-embedding-text-zh-v2. - Scenario: Uploaded financial reports result in parsed text blocks that lose table field information. Cause: The structured parsing mode for
parse_table_modeis not enabled, so table content is split as plain text.
How to Confirm Proper Configuration
- Upload a single feed enterprise financial report sample. Check that parsed text blocks retain complete structures for core fields including segment revenue and raw material costs.
- After configuring the vector model, input industry-specific terms such as ruminant feed gross margin. Verify the model generates consistent vector encoding.
- Initiate a full index build task. Wait for the task to finish, then confirm the interface status indicator shows a normal ready state.
- Initiate a recall test. Input target financial report keywords, then confirm returned results match preset configuration requirements for relevance.
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.