What data looks like for this category
The data sources for computer equipment mainly include manufacturer official specification documents, internal enterprise asset ledgers, operation and maintenance inspection logs, and compliance inspection reports. Update cycles are triggered by new model releases, asset changes, or compliance checks, with no fixed schedule. Single documents are mostly a mix of structured and semi-structured data, containing fields such as device model, serial number, CPU clock speed, memory capacity, storage specification, maintenance period, and compliance level, with units including GHz, GB, TB, years, etc.
What constraints these characteristics impose on knowledge base retrieval and recall
Structured fields are numerous and come with dedicated units, requiring support for field-level precise matching and unit normalization during retrieval. Data sources have no fixed update cycle, so incremental synchronization trigger rules need to be configured, rather than using full refresh. Single device documents are small in size but total batch data volume is large, so duplicate data deduplication logic during recall needs to be optimized. Compliance-related fields must be strictly bound to retrieval conditions to avoid missing key constraint items that affect due diligence conclusions.
How to configure parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Computer equipment documents are mostly structured small files. Parsing time typically does not exceed 5 minutes, so the default timeout setting covers most scenarios |
UPLOAD_FILE_MAX_SIZE | 200 MB | Single device ledger or specification documents usually do not exceed this limit, preventing large files from blocking the parsing queue |
Chunk size | 800–1200 characters | Computer equipment parameter fields are scattered. Overly long segments will lose field association information, while overly short segments will damage parameter integrity |
Recall count | Top 8–12 entries | A single due diligence report usually involves around 10 devices. Excessive recall will increase context redundancy |
Similarity threshold | 0.75–0.85 | Unique identifiers such as device model and serial number require high matching accuracy. General parameters can appropriately relax the threshold range |
Rerank result count | Top 5 entries | Highest matching device parameters should be returned first to avoid irrelevant results interfering with due diligence judgments |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on self-hosted samples before finalizing.
Three common configuration errors
- Phenomenon: Imported computer equipment specification PDF files cannot be opened in retrieval results. Cause: The
PARSE_FILE_EXTENSIONSparameter is not configured to include PDF parsing rules, or the automatic parsing option is not selected during file upload. - Phenomenon: Retrieval results have significant matching deviations and cannot accurately match unique identification fields such as device serial numbers. Cause: Field-level matching mode is not enabled for structured device parameters, and a general text understanding model is mistakenly used for field matching.
- Phenomenon: Some files encounter parsing timeout errors during batch import of device ledgers. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted to a duration suitable for batch files, and the default timeout setting is insufficient to complete batch parsing of multiple small files.
How to confirm configuration is complete
- Upload a single computer equipment specification document, check whether core fields such as device model and serial number are fully extracted after parsing.
- Initiate a retrieval request containing device parameter keywords, verify whether the matching logic of the recall results conforms to the preset field-level matching rules.
- Import batch device ledger files, check whether all parsing statuses show success, with no timeout or parsing failure error messages.
- Adjust the similarity threshold and initiate retrieval, observe whether the number of recall results changes as expected with the threshold.
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.