What the Data for This Category Looks Like
Data for documents and materials in the pharmaceutical distribution sector primarily comes from GSP compliance archives, pharmaceutical purchase and sales contracts, cold chain transportation records, inventory ledgers, business qualification documents, and similar sources. Data updates are triggered by business processes: purchase and sales contracts are updated upon completion of individual transactions, while regulatory documents are adjusted quarterly or per regulatory requirements. Documents include structured tables and unstructured text. Structured fields include pharmaceutical generic names, specifications, batch numbers, inbound/outbound quantities, cold chain temperature thresholds, and more. Units include boxes, cases, degrees Celsius, batch numbers, and others.
What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall
The characteristics of pharmaceutical distribution documents impose multiple constraints on retrieval and recall. There are many structured fields with dedicated units, so retrieval must support precise field matching to avoid semantic recall confusing critical information such as drug specifications and batch numbers. Data update cycles vary significantly. Real-time inventory ledgers require incremental indexing, while regularly released regulatory documents can use scheduled full indexing. Some fields such as cold chain temperature thresholds have strict numerical and unit requirements. Recall results must retain complete unit information to prevent matching vague descriptions without units. Compliance priorities differ across document types, so recall weights must be differentiated to ensure compliance-related documents are returned first.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Critical information such as pharmaceutical distribution document batch numbers and cold chain temperature thresholds requires high matching accuracy to avoid irrelevant low-similarity results interfering with business judgments |
limit | Top 8–12 entries | Pharmaceutical distribution documents contain multiple types of key fields. An appropriate number of recall results can cover information needs across different business scenarios while preventing context length from exceeding limits |
searchMode | vector + keyword | Adapts to the mixed structured and unstructured characteristics of pharmaceutical distribution documents, covering both semantic recall and precise matching of structured fields such as drug batch numbers and specifications |
usingReRank | Enabled | Compliance content in pharmaceutical documents has higher priority than business content. Re-ranking can improve the display order of compliance documents to meet requirements for regulatory-related scenarios |
datasetSearchUsingExtensionQuery | Enabled | Extended queries can supplement professional synonyms such as pharmaceutical generic names and specifications, improving recall effectiveness across different expressions and adapting to the professional terminology system of the pharmaceutical field |
collectionIds | Specify collection IDs by business scenario | Pharmaceutical distribution documents are stored classified by GSP archives, inventory, cold chain records, and other categories. Specifying collections narrows the retrieval scope and improves retrieval accuracy |
Three Common Mistakes
- Symptom: After calling the retrieval interface or configuring specified collections in the interface, retrieval results include documents not in the preset collection. Cause: The
collectionIdsparameter is not configured, or the collection ID is entered incorrectly, resulting in the retrieval scope covering the entire knowledge base. - Symptom: Retrieval results contain a large amount of vague content unrelated to drug batch numbers and cold chain temperature thresholds. Cause: The
similarityparameter is set too low, failing to filter irrelevant results that do not meet matching standards. - Symptom: Compliance GSP documents appear after ordinary purchase and sales contracts, and regulatory required content cannot be obtained first. Cause:
usingReRankis not enabled, or the re-ranking rules do not adapt to the compliance priorities of pharmaceutical distribution.
How to Confirm Proper Configuration
- Pass in the preset
collectionIdsparameter, check whether the document sources of the returned results only cover the specified collections. - Adjust the value of the
similarityparameter, compare result matching accuracy across different values to confirm alignment with business precision requirements. - After enabling
usingReRank, check whether compliance documents are displayed before ordinary business documents. - Enter aliases or abbreviations of drugs, check whether corresponding pharmaceutical distribution documents are recalled to verify that the extended query function is working.
The values provided here 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.