What this category of data looks like
Real estate construction marketing content data mainly comes from internal project archives, product manuals from cooperating building material suppliers, sorted customer consultation records from offline sales offices, and online marketing materials. The update rhythm is adjusted according to project milestones; core materials are updated intensively before project launch, with irregular updates for new house types and new preferential activities on a daily basis. Documents are divided into three categories: long text documents (such as complete real estate marketing manuals, construction standard descriptions), structured parameter documents (such as house type area, building material specifications, quotation details), and script documents (such as standard responses to customer consultations). Fields include project name, construction area (unit: square meters), construction period (unit: days), building material model, unit price (unit: yuan/㎡ or yuan/item), and some documents are attached with drawing metadata.
What constraints these characteristics impose on the knowledge base retrieval and recall link
The high proportion of long text documents requires retrieval to retain contextual associations and avoid truncating core content such as construction standards and house type parameters. There are many structured parameter fields, which requires support for field-level precise matching to ensure that information such as building material models and house type areas can be accurately recalled. The update rhythm is irregular and has no fixed cycle, which requires a combination of incremental synchronization and manual triggering to avoid data lag. Marketing scripts are bound to engineering parameters, which requires that recall results are associated with script content corresponding to the scenario to improve marketing adaptability. Some documents are attached with drawing metadata, which requires retrieval to support association with visual resources to supplement information dimensions.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | Top 8–12 entries | Real estate construction marketing content often includes associated parameters; recalling more entries can cover more scenario-related information |
similarity threshold | 0.72–0.85 | Balance precision and recall coverage, avoid missing low-score relevant content matched by professional terms |
chunk length | 800–1200 characters | Adapt to the long paragraph structure of real estate construction documents, avoid truncating core content such as construction standards and house type parameters |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Real estate construction documents often contain a large number of images and tables for parsing, requiring extended parsing timeout |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Allow uploading large-volume documents such as complete project manuals and bidding documents |
incremental sync trigger | Triggered by file change time | Adapt to the irregular update rhythm of real estate construction projects, reduce resource consumption of full synchronization |
The parameter values provided on this page are common recommendations for establishing a starting point 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 your own samples before finalizing.
Three common mistakes
- Phenomenon: Multiple files cannot be selected at once for batch operations in the knowledge base file management interface. Cause: The multi-select mode switch of the interface is not enabled, so only single-file management operations are supported at a time.
- Phenomenon: Retrieval results return question and answer pairs in QA mode by default, and cannot be switched to regular document retrieval. Cause: The default QA mode switch is not turned off in the knowledge base configuration, so the retrieval logic prioritizes calling question and answer pair recall.
- Phenomenon: Retrieval requests frequently return 504 timeout errors. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the parsing timeout for large-volume real estate construction documents is not covered.
How to confirm the configuration is complete
- Upload a real estate marketing manual containing long paragraphs, check that the parsed text chunks do not truncate core engineering parameters, and verify that the chunk configuration matches the document structure.
- Initiate a retrieval for a specific building material model or house type area, confirm that the recall results include matching structured field content, and verify that the retrieval configuration covers field matching.
- Manually trigger an incremental synchronization task, check whether updated files in the knowledge base are automatically synchronized, and verify that the automatic synchronization rule is triggered by change time.
- Initiate consecutive retrieval requests, confirm that no frequency-related errors are triggered, and verify that the request frequency configuration adapts to the current business scenario.
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.