What the data for this category looks like
Electronic component intelligent due diligence report data comes primarily from original manufacturer specifications, industry parameter databases, and bill of materials (BOM). Update cycles follow manufacturer production suspensions and replacement model releases, and are typically quarterly. Single documents are mostly multi-page PDFs or structured CSV files, and include fields such as component model, core parameters (like resistance, capacitance, voltage rating), manufacturer, compliance certification marks, and replacement model lists. Parameter fields must include standard units, including ohms (Ω), farads (F), volts (V), and millimeters (mm).
What constraints do these characteristics impose on deployment and upgrade
The multi-field, multi-unit properties of electronic component data require custom parsing rules during deployment to support mixed structured and unstructured documents. Frequent updates to replacement models and production suspension information require upgrade workflows to support incremental index rebuilding, to reduce service downtime. Parsing multi-page long documents increases single-file processing time, which raises requirements for service memory and timeout configurations. High volumes of replacement model-related retrieval requests require retrieval links to support multi-field associated matching, to cover associated retrieval needs for replacement models.
How to set configuration values
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Electronic component specifications are mostly multi-page PDFs containing large numbers of parameter tables, leading to long parsing times |
EMBEDDING_BATCH_SIZE | 32–64 | Individual text entries for electronic component data are relatively long; batch processing balances efficiency and memory usage |
RECALL_TOP_K | Top 10–15 entries | Electronic components have a large number of replacement models; sufficient candidates must be recalled to cover associated matching |
INDEX_REFRESH_INTERVAL | Every 6 hours | Electronic component production suspension and replacement model updates occur at relatively high frequencies; regular synchronization of the latest data is required |
MAX_CONTEXT_LENGTH | 8000–12000 characters | Intelligent due diligence reports need to integrate parameters from multiple specifications; context length must cover complete parameter groups |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Full-series electronic component specification collections from large manufacturers have large file sizes |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Phenomenon: After starting the container, the service status shows
up, but the 3000 port page cannot be accessed, and the log promptsMongoConnectionError. Cause: The electronic component knowledge base has a large data volume. TheMONGO_MAX_POOL_SIZEconfiguration was not set to adapt to the data volume during initial index construction, leading to connection pool exhaustion. - Phenomenon: After configuring the large model, the test pop-up window reports an error, but the due diligence report content can be generated normally after referencing the model. Cause: The
MODEL_API_TIMEOUTconfiguration was not set to adapt to large model response delays. The test request was intercepted due to timeout, and the retry mechanism took effect during formal generation. - Phenomenon: After local deployment is completed, the oneAPI management interface cannot be accessed, and the interface returns
404 Not Found. Cause: TheONEAPI_ENABLEDconfiguration item was not enabled, or the database initialization script was not executed to synchronize the oneAPI-related table structure.
How to confirm the configuration is correct
- Upload a single electronic component specification, check if the parsed fields fully cover the model, parameters and certification information, and verify if the parsing time meets expectations.
- Initiate an intelligent due diligence report generation request, check if the number of recalled candidate documents matches the configured
RECALL_TOP_Kvalue. - View the index update log to confirm that the incremental index is automatically triggered according to the configured
INDEX_REFRESH_INTERVALcycle. - Test the model call link to confirm that both test requests and formal generation requests can return results normally, with no timeout errors.
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.