What This Category of Data Looks Like
Residential construction marketing content data mainly comes from project approval ledgers, pre-sale permit public notices, on-sale unit parameter sheets, construction progress milestone documents, model unit photo materials, and similar sources. Data updates align with project phase milestones, adjusted on demand from land acquisition to delivery. A single marketing document typically includes fields such as project name, location information, unit area, decoration standards, supporting facilities, and more. Units include square meters, meters, number of units, and similar. Document formats cover PDF, Word, structured web forms, and other common types.
Constraints Imposed on Model Access and Configuration
The multi-source and decentralized nature of residential construction marketing data requires configuring trigger rules for multi-source data synchronization during model access, to avoid missing core cross-system parameters in single recall. The phased update rhythm requires configuring incremental synchronization mechanisms triggered by project milestones, to adapt to the non-fixed cycle of content updates. The presence of specialized fields and specific units requires configuring field mapping and unit verification rules during model access, to ensure parameter accuracy in generated content. The need for multi-format document parsing requires configuring parsing parameters for multiple file types, covering common marketing material formats such as PDF and Word.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single residential construction project marketing documents often exceed 3000 characters, so complete parameter context must be retained to support accurate reasoning |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large unit plan PDFs and multi-page construction progress documents takes longer, so this setting must accommodate long document parsing requirements |
RECALL_SIMILARITY_THRESHOLD | 0.75–0.85 | Professional terminology in marketing content has high similarity differentiation, so low-relevance non-target project content must be filtered out |
RECALL_TOP_N | Top 6–8 entries | Core marketing parameters for a single unit are numerous, so enough content covering selling points such as unit type, location, and decoration must be recalled |
MODEL_API_TIMEOUT | 120 seconds | Complex parameter inference takes longer when calling large models to generate unit interpretations and project comparison content |
SESSION_ID_PASS_MODE | header transfer | Residential construction project marketing conversations must be bound to a unique project ID. Passing the session identifier via the request header is more stable and avoids link loss |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Each scenario requires specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Symptom: A
400 Bad Requesterror appears in the large model call log, with the session ID field empty. Cause: TheSESSION_ID_PASS_MODEparameter is not configured, and the session identifier is not bound to the model request link. - Symptom: Forged reference IDs that do not correspond to any unit data appear in generated marketing content. Cause: The
FIELD_VALIDATION_ENABLEparameter is not enabled, and field legitimacy verification is not performed for model-generated content. - Symptom: The target model cannot be selected in the workflow classify module configuration interface, but the workflow can be called normally after publishing. Cause: The
ENABLE_CLASSIFY_MODEL_SELECToption is not checked in the model access configuration, causing the front-end interface to fail to load the optional model list.
How to Verify a Successful Configuration
- A single residential construction marketing PDF document with more than 5000 characters is uploaded. The completeness of the parsed text is checked to confirm that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration takes effect. - A test conversation containing unit parameters is initiated. The number of relevant documents recalled in the returned results is checked to confirm it falls within the range specified by the
RECALL_TOP_Nconfiguration. - The model request log is viewed to confirm that the session ID has been passed to the model interface via the specified method.
- The workflow classify module configuration interface is entered to confirm that the target model is displayed in the optional list.
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.