What this category’s data looks like
Documents and materials for warehousing and logistics are primarily generated by daily business systems, including inbound orders, outbound orders, delivery dispatch orders, cargo right transfer certificates, compliance filing documents, and more. Data is generated in real time alongside business processes, and the daily total update volume fluctuates with business scale. Most documents are structured tables and semi-structured text, with fixed fields including cargo code, inventory quantity, storage area, delivery address, and operation time. Units include pieces, tons, cubic meters, calendar days, and others. Some documents contain multi-paragraph operation instructions and compliance clauses with line breaks.
What constraints these characteristics impose on the knowledge base retrieval and recall link
The mixed characteristics of structured fields and semi-structured text require retrieval to support both precise field matching and semantic recall, to avoid interference from irrelevant content. Real-time generated business data requires the knowledge base synchronization frequency to align with business update rhythms, to prevent recalling expired or unsynchronized documents. Multi-paragraph operation instructions and compliance clauses with line breaks require that splitting logic retains actual line break patterns, to avoid damaging clause integrity during splitting. The large number of fixed fields and clear unit specifications require retrieval configurations to support filtering by field dimensions, to narrow recall scope and improve matching accuracy.
How to set the configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
similarity | 0.72–0.85 | Most warehousing and logistics documents contain structured fields and professional terminology. This range balances precise matching and recall coverage, avoiding irrelevant warehouse documents or compliance files from being recalled |
limit | Top 6–10 results | A single retrieval for warehousing and logistics documents needs to cover associated content across multiple document types. This quantity ensures sufficient context for document drafting, while avoiding content redundancy |
searchMode | Hybrid retrieval | Adapts to the mixed characteristics of structured fields and semi-structured text, triggering both semantic recall and field matching to cover different types of retrieval needs |
usingReRank | Enabled | There are many professional terms in warehousing and logistics. Reranking filters low-correlation recall results and improves final matching accuracy |
datasetSearchUsingExtensionQuery | Enabled | For professional terms and fields in warehousing and logistics, automatic query expansion covers synonyms and abbreviations, improving recall scope |
collectionIds | Bind corresponding warehousing knowledge base collections by business scenario | Distinguish knowledge bases for different business categories such as inbound, outbound, and delivery, to avoid recalling irrelevant data across scenarios |
Three common misconfigurations
- Phenomenon: Recalled documents are incorrectly split, with line breaks replaced by the
\nstring, leading to formatting chaos during document drafting. Cause: The text splitting rule configured to follow actual line breaks is not enabled, and escaped line breaks in string form are mistakenly used as the splitting basis. - Phenomenon: Permission errors occur when multiple accounts attempt to edit the same knowledge base, or retrieval results show data inconsistency. Cause: The knowledge base collaborative sharing mode is not enabled, and single-user exclusive edit permission is enabled by default.
- Phenomenon: Empty results are returned when calling the knowledge base in a workflow, or expected documents cannot be matched. Cause: The knowledge base collection ID corresponding to the warehousing business is not bound in the workflow node, or the ID is filled incorrectly.
How to confirm the configuration is valid
- Upload a warehousing compliance document with actual line breaks, use the splitting preview function in FastGPT v4.17.0, and check whether the split text blocks retain the original line break logic to verify that the splitting configuration takes effect.
- Initiate a precise retrieval targeting the cargo code field, confirm that the recall results only include documents matching this field, to verify that the field filtering and retrieval mode configurations are correct.
- Adjust the
similarityparameter value, observe changes in the correlation of recall results, and confirm that the parameter value meets the current business scenario requirements. - Log in with multiple accounts simultaneously to edit the knowledge base, verify that edit operations take effect synchronously, with no permission conflicts or data abnormalities.
The values listed are common starting points and should be measured against the reader's own samples.
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.