What the data for this category looks like
Data sources cover publicly available land transfer notices from land management departments, planning approval documents from housing and urban-rural development authorities, internal construction progress ledgers from real estate enterprises, commercial housing sales filing reports, and market research documents from nearby competing projects. Land transfer data updates quarterly. Construction progress ledgers synchronize weekly. Sales filing data updates in real time with transactions. Research documents are supplemented as needed. A single report typically includes five core modules: project location parameters, land indicators, development cycle plan, cost composition, and sales expectations. Fields include land area (unit: square meters), floor area ratio, construction and installation cost (unit: yuan/square meter), salable area (unit: square meters), and other items. Some documents include parsed text of CAD-format planning drawings.
What constraints do these characteristics impose on vector models and indexing?
Multi-source, heterogeneous data types require vector models to support encoding logic for both structured field text and unstructured research descriptions. This avoids semantic vector drift across different data sources. Real-time updated sales filing data requires indexes to support incremental synchronization mechanisms. This reduces the time cost of full index reconstruction. Structured fields with clear units need unit information bound during chunking. This prevents loss of unit association after semantic splitting. Long documents containing parsed planning drawing text require adjusted chunk length thresholds. This avoids splitting key development indicators into different vector chunks.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
embedding_model | Doubao-embedding-large | Supports text encoding up to 8192 characters, adapts to long paragraph planning descriptions and cost details in residential development reports, and supports custom request address and apikey configuration |
chunk_size | 800–1200 characters | The average length of a single paragraph in residential development reports is approximately 600-1000 characters. This range preserves complete cost composition or cycle plan modules and avoids semantic splitting |
chunk_overlap | 100–150 characters | Structured fields and adjacent descriptions have semantic associations. Overlapping chunks preserve contextual associations between fields and units, improving recall accuracy |
max_paragraph_depth | 3 | The paragraph hierarchy of residential development reports is typically three levels (project - module - sub-item). This setting accurately identifies paragraph structures and avoids excessive splitting |
enable_table_vector | Enabled | Residential development reports include tabular data such as land indicators and cost composition. Multi-vector support improves the recall matching rate of table content |
similarity_threshold | 0.72–0.80 | It is necessary to distinguish competitor project parameters in similar locations. This range avoids recalling irrelevant data or missing valid information |
The parameter values provided on this page are common recommended 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 your own samples before finalizing.
Three Common Misconfigurations
- Issue: After configuring the custom request address and apikey for
Doubao-embedding-large, clicking model test returns a401 Unauthorizederror. Cause: Request header parameters for the model were not configured correctly, or the apikey contains invalid characters leading to authentication failure. - Issue: After the knowledge base is configured and the agent test passes, refreshing the knowledge base settings page displays "No available index model detected". Cause: The model configuration was not saved before exiting the page, or browser caching caused the configuration to not sync to the backend service.
- Issue: After enabling table multi-vector support, the retrieval results do not include cost detail data within tables. Cause: The vector extraction switch for table content was not checked, or the table parsing format was not converted to an encodable text format.
How to Confirm Configuration Completion
- Enter the knowledge base model configuration page, check that the
embedding_modelname and custom request address match the documentation provided by the service provider. - Upload a single residential development project report, and verify that the chunking preview interface retains unit information for fields such as land area and construction and installation cost.
- Initiate a knowledge base retrieval, and verify that the recall results include construction progress and sales filing related data for the target project.
- After configuring the incremental synchronization task, manually trigger a synchronization, and check that the index update log displays successful execution.
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.