What this category of data looks like
Fertilizer and pesticide service inquiry data mainly comes from registration announcements released by the Ministry of Agriculture and Rural Affairs Pesticide Inspection Institute, product filing documents from production enterprises, national and industry standard texts, and field efficacy and residue test reports. Relevant authorities revise national and industry standards every 1 to 2 years. Enterprise filing data updates in real time as products launch. Relevant bodies release registration announcements quarterly. Single documents are mostly structured tables or standardized technical descriptions, containing fields such as product name, registration number, active ingredient content, applicable crops, and application dosage. Units include g/L, %, kg/ha and other professional measurement standards.
What constraints these characteristics impose on knowledge base retrieval and recall
A high proportion of structured documents requires field-level precise matching during retrieval to avoid invalid cross-field associations. Diverse professional measurement units require unit normalization before retrieval to prevent recall errors caused by unit confusion. Data update rhythms include real-time and scheduled types, so teams must configure an update mechanism combining incremental and full synchronization to ensure the timeliness of retrieval results. Single document content is compact and concentrated with professional terms, so teams must retain document unit integrity during chunking to avoid breaking semantic associations through splitting.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Most fertilizer and pesticide documents are structured professional content. This range filters low-match irrelevant results while retaining precise matches for registration information and standard texts |
limit | Top 10 entries | Single product documents have compact content. Too many recall results will exceed the context window. 10 entries can cover all relevant information needed for typical inquiries |
searchMode | semantic+keyword | Balances semantic matching for professional terms and precise keyword matching for registration numbers and ingredient names, adapting to the retrieval needs of structured data |
usingReRank | Enabled | Semantic similarity of structured documents is easily disturbed by field order. Reranking prioritizes results matching core fields such as active ingredients and applicable crops |
datasetSearchUsingExtensionQuery | Enabled | Can expand colloquial user inquiries such as "how to use wheat herbicides" into search terms containing professional terms, matching standard expressions in standard documents |
collectionIds | Dedicated business fertilizer and pesticide knowledge base collection ID | Isolates knowledge base data of different categories to avoid recalling unrelated agricultural technical documents and ensuring retrieval accuracy |
The values provided are common starting points and should be evaluated against the reader's own samples.
Three Common Errors
- Phenomenon: Retrieval results contain mismatched units. For example, a result returning "50g per mu" when the actual correct value should be "50g per hectare". Cause: No unit normalization rules were configured during the document preprocessing stage, leading to mixed recall of similar data with different units.
- Phenomenon: Knowledge base calls return "no matching results found", and logs show the
collectionIdsparameter is empty. Cause: The dedicated business knowledge base collection ID was not correctly bound, so the retrieval scope covers unrelated non-fertilizer and pesticide documents. - Phenomenon: The LLM generates responses citing non-compliant content outside the knowledge base, such as unregistered pesticide usage methods. Cause: Retrieval and recall filtering rules were not strictly configured, causing recall results not limited to registered fertilizer and pesticide data.
How to Confirm Proper Configuration
- Upload a single fertilizer ingredient document with clear units, initiate a retrieval for "urea products with active ingredient content of XX%", and verify that the returned results have units consistent with the document.
- Check the retrieval log to confirm that the
collectionIdsparameter carries the dedicated business collection identifier, with no null values or incorrect IDs. - Initiate a colloquial inquiry: "What herbicide to use in wheat fields", verify that the returned results include matching content with the applicable crops field, and no unregistered product information appears.
- Adjust the
similarityparameter to 0.7, confirm that low-match irrelevant content appears in the returned results, to verify that the threshold configuration takes effect.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.