Knowledge Base Retrieval and Recall for Feed Financing Daily Reports

Sources include national livestock industry monitoring platforms, public information released by local feed industry associations, and public

What Data for This Category Looks Like

Sources include national livestock industry monitoring platforms, public information released by local feed industry associations, and public financing filings from feed trading entities. The update cadence is fixed daily updates for full data from the previous calendar day. Documents are centered on structured tables, with brief scene descriptions and short qualification snippets of financing entities. Fields include financing entity, corresponding feed category, financing amount, financing term, financing purpose, and publishing institution. Financing amount is measured in units of ten thousand yuan. Financing term is measured in units of calendar days or calendar months.

Constraints for Knowledge Base Retrieval and Recall

The full daily updated data feature requires the knowledge base to support scheduled incremental synchronization or full refresh mechanisms, to avoid returning outdated data in search results. The document structure centered on structured tables requires the retrieval logic to prioritize precise field matches within tables. Full-text broad matching is not used as the primary matching method. The field setup for segmented feed categories requires the recall link to support targeted filtering by category, to narrow the search scope. Unified field units require associating fields with their corresponding units in retrieval configurations, to avoid invalid recall caused by unit mismatches. The highly time-sensitive financing data attribute requires search results to be sorted in reverse chronological order of release time by default, to prioritize returning the latest data.

Configuration Settings

Configuration KeyRecommended ValueRationale
Recall countTop 8-12 entriesCore information of a single feed financing daily report is concentrated in a small number of entries. This range covers major financing targets and avoids redundant context.
Similarity threshold0.72-0.85Feed category names are precise matching fields. A threshold that is too low will introduce financing data from unrelated categories, while a threshold that is too high will miss valid matching results.
Chunk size800-1200 charactersA single segment of structured tables must retain complete field group information. This length adapts to the row content width of daily report tables.
PARSE_FILE_TIMEOUT_SECONDS600 secondsBatch-imported multiple daily report documents contain multi-page tables, requiring sufficient time to complete structured parsing and field extraction.
Rerank result countTop 5 entriesPrioritize displaying the most matching financing targets, which aligns with core user needs for timeliness and accuracy.
maxContext4000-6000 charactersThe total text volume of a complete daily report is moderate. This range can fully load all valid recalled content.

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. Each scenario requires individual analysis. It is recommended to test against one’s own samples before finalizing values.

Three Common Configuration Errors

  • Issue: Search results return financing entities that do not match the input feed category, or show a large number of irrelevant results. Cause: Targeted filtering rules are not configured based on feed category fields. Only full-text fuzzy retrieval is used, and precise matching of category fields within tables is not implemented.
  • Issue: The knowledge base retrieval configuration interface only displays GPT-3.5 series model options, and other compatible models cannot be selected. Cause: API authorization information for corresponding models is not added in the platform's model management module, so the selectable model list is not updated.
  • Issue: Batch-imported feed financing daily report documents show parsing timeout errors with status code 504. Cause: PARSE_FILE_TIMEOUT_SECONDS is not set to a sufficient duration, so structured parsing and field extraction for multi-page tables cannot be completed.

How to Verify Correct Configuration

  • Upload a single feed financing daily report document, check that the parsed fields match the preset business fields, to confirm the parsing logic adapts to the document structure.
  • Enter a search term for a specified feed category, verify that the recall results include financing information for that category, and adjust configuration items to the range that meets business requirements.
  • Send a joint retrieval request, confirm that feed financing data from two specified knowledge bases can be obtained simultaneously, and the returned results include the unique document identifier.
  • Check the sort order of search results, confirm that results are sorted in reverse chronological order of release time, which meets the data timeliness requirements.

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.