What This Category of Data Looks Like
Party building learning Q&A data for coal mine production comes primarily from internal party building management systems of coal state-owned enterprises, study documents issued by the Party Committee Propaganda Department, branch party lesson courseware, and meeting minutes. Data updates follow a fixed rhythm: monthly study points are added each month, and special party lesson content is updated every quarter. Most documents are in PDF or Word format. Their structures include topic titles, issuing units, release dates, main body paragraphs, and attachment links. Single-document word counts vary widely. Fields include document number, topic classification, and others. Storage size is measured in megabytes. FastGPT v4.17.0 fully supports importing and parsing all the above data formats.
What Constraints These Characteristics Impose on Forms and Interactions
The wide variation in single-document word counts requires form interactions to support adaptive document parsing thresholds. This prevents parsing timeouts for long documents and avoids redundant splitting of short documents. The presence of attachment links in internal documents requires form interactions to add options for attachment recognition and synchronized upload. This ensures associated materials are included in the knowledge base. The fixed update rhythm requires the form’s scheduled sync configuration to match monthly and quarterly update cycles. This removes the need for manual triggering each time. The presence of topic classification fields requires interactive forms to support filtering options based on party building topic classifications. This facilitates accurate recall of study content.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Matches the typical paragraph length of coal mine party building documents, to avoid splitting that disrupts semantic coherence |
| Single Import Limit | 500 MB | Adapts to the storage needs of single large party lesson courseware or bulk import of multiple documents |
formInput | Triggered by document classification | Matches the topic classification fields of party building learning Q&A, to accurately recall knowledge base content of corresponding classifications |
userSelect | Top 3–5 recall results | Aligns with the information acquisition habits of party members, avoiding interference from too many options |
| Maximum Context | 4000–6000 token | Adapts to the context transfer needs after parsing long documents, to ensure coherent Q&A logic |
| Question Optimization | Enabled | Optimizes semantic understanding of party building-specific terminology, to improve Q&A accuracy |
Three Common Mistakes
- Phenomenon: When importing a party building PDF document, the page loading progress bar continues to refresh, and specific pages cannot be selected. Cause: The chunk length adapted for long documents is not configured, causing pagination logic to block during parsing.
- Phenomenon: When voice-inputting party building-related questions, terms such as "three meetings and one lesson" and "theme party day" cannot be recognized. Cause: Question optimization configuration is not enabled, so semantic recognition does not adapt to specialized vocabulary in party building scenarios.
- Phenomenon: When calling an external model, Q&A results do not match the content of the party building knowledge base. Cause: The recall range of
userSelectis not configured according to document classification, leading to recall results that deviate from party building topics.
How to Confirm the Configuration Is Correct
- Upload a typical coal mine party building document, and check that the number of parsed chunks matches the preset chunk length.
- Test the Q&A process triggered by
formInput, and confirm that recall results only include party building content of the corresponding classification. - Conduct a voice input test, and confirm that semantic understanding after question optimization meets the needs of party building scenarios.
- Check the size of the imported document, and confirm that it does not exceed the single import limit.
The values provided 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.