Mining and Mineral Processing Inquiry and Response: Knowledge Base Retrieval and Recall

Mining and Mineral Processing Inquiry and Response: Knowledge Base Retrieval and Recall

What Data for This Category Looks Like

The business data for mining and mineral processing originates primarily from mining design plans, mineral processing flow sheets, equipment operation and maintenance logs, safety and compliance regulations, mineral rights approval documents, and similar sources. The data update schedule is layered:

  • Equipment operation logs are generated in real time
  • Daily production reports are updated daily
  • Monthly scheduling plans are revised monthly
  • Annual compliance documents are updated every 12 months

Document structures include long-text process descriptions, structured parameter tables, job indicator records with units, and fields covering job locations, equipment numbers, processing capacity, job duration, and other relevant details. Some documents include professional term annotations.

Constraints Imposed by These Characteristics on Knowledge Base Retrieval and Recall

  • A high proportion of long-text process documents requires that professional terms be preserved intact during segmented retrieval, to prevent semantic loss from truncation.
  • A large number of structured parameter tables requires support for both numerical matching and semantic retrieval, with requirements for compatibility with hybrid retrieval workflows.
  • A large volume of real-time and frequently updated data requires support for incremental recall to maintain content timeliness.
  • A large number of job indicator fields with units requires matching unit information during retrieval, to avoid retrieving invalid content with mismatched units.
  • High risk of cross-category document interference requires limiting the retrieval set to documents exclusive to mining and mineral processing.

How to Set Configurations

Configuration ItemRecommended ValueRationale
similarity0.72–0.85Semantic similarity threshold for matching mining and mineral processing professional terms, filtering low-relevance geological exploration documents
limitTop 6 entriesLimit the number of returned results for inquiry scenarios, adapting to the content length requirements of short responses
searchModeHybrid retrievalBalance retrieval performance for structured equipment parameters and unstructured process documents
usingReRankEnabledRe-rank retrieved results by mining and mineral processing business relevance, raising the priority of core job process content
datasetSearchUsingExtensionQueryEnabledAutomatically expand professional terms for inquiries, for example expanding "ore grinding" to related expressions of the corresponding job process
collectionIdsBind three collections: mining regulations, mineral processing reports, equipment operation and maintenanceLimit the retrieval scope to avoid cross-category document interference with business inquiries

Three Common Configuration Mistakes

  • Symptom: Search test results do not match the preset number of entries, returning only a small volume of content or exceeding the upper limit. Cause: The limit parameter is not configured correctly, or the bound collectionIds only include a small number of exclusive document collections.
  • Symptom: Hybrid retrieval requests take longer than 10 seconds, exceeding the reasonable response range for commercial scenarios. Cause: Retrieval weights are not optimized for structured mining and mineral processing data, and hybrid retrieval of full document sets is enabled simultaneously.
  • Symptom: After uploading a mineral processing flow PDF, search tests return no results, and no system prompt indicates completed parsing. Cause: Text segmentation verification after PDF parsing is not enabled, or the segmentation length exceeds the typical character range for professional mining and mineral processing documents.

How to Confirm Correct Configuration

  • Access the knowledge base search test page in FastGPT v4.17.0, input a typical mining and mineral processing inquiry question, and verify that the number of returned results matches the limit configuration.
  • Review the system retrieval log to confirm that the searchMode, usingReRank, and datasetSearchUsingExtensionQuery parameters are correctly called, with no abnormal error fields.
  • Upload a mineral processing regulation PDF, wait for the system to finish parsing, then search for professional terms within the document to confirm that the corresponding content is included in the results.
  • Test the hybrid retrieval request duration, adjust the similarity threshold or number of retrieved entries, and control the duration within a range that meets business requirements.

Note: The configuration values provided here are common starting points, and should be evaluated 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.