What the data for this category looks like
Data sources for commercial real estate research reports include public industry research institution reports, regular reports of listed commercial real estate enterprises, commercial property monitoring data from local housing and urban-rural development departments, and commercial real estate sector research reports from securities brokerages. Update rhythms fall into two categories: fixed cycle and non-fixed cycle. Listed enterprise reports are updated quarterly and annually, while industry dynamic reports are released alongside market events. Documents typically include project location parameters, operation data modules, financial calculation content, and policy-related entries. Core field units include square meters, yuan per square meter per day, ten thousand yuan, and others.
What constraints these characteristics impose on the knowledge base retrieval and recall link
Multi-source data access requires adapting to different document structures. For example, structured operation data and long-text financial calculations require different segmentation logic. Industry dynamic reports with non-fixed update cycles require a flexible incremental update mechanism to sync the latest information. A complex field system requires precise matching of professional terms and parameter dimensions during retrieval to avoid irrelevant generalized recall. Individual research reports have large content volumes, so context length configuration must be adjusted to retain complete business logic connections.
How to Set Configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
PARSE_CHUNK_SIZE | 800–1200 characters | Commercial real estate research reports contain long-text financial calculations and structured parameters. This segmentation length balances context completeness and retrieval accuracy |
RECALL_TOP_N | Top 6–8 results | Commercial real estate research reports have large individual content volumes. Increased recall coverage can capture key information from different modules and avoid missing core project parameters |
SIMILARITY_THRESHOLD | 0.72–0.80 | Commercial real estate research reports are dense with professional terms. This threshold filters irrelevant content while retaining associated information across different reports for the same project |
UPLOAD_FILE_MAX_SIZE | 200 MB | Individual commercial real estate research reports may contain large numbers of charts and appendices. This upper limit covers most single-file sizes |
INCREMENTAL_UPDATE_INTERVAL | Every 12 hours | Industry dynamic reports have non-fixed update cycles. This interval balances synchronization timeliness and system resource usage |
RERANK_TOP_N | Top 3–4 results | Long text segments contain significant redundant content. Reranking selects the most relevant passages to improve retrieval result quality |
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. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Retrieval throws error
invalid configuration parameter name "hnsw.iter". Cause: Incorrectly used vector retrieval configuration parameters not supported by FastGPT, and failed to match the platform's native recall configuration items. - Symptom: Unauthorized roles can view all enterprise knowledge base content. Cause: Role-level knowledge base access permissions are not configured, and visible knowledge base scopes are not set for different positions.
- Symptom: After associating multiple commercial real estate research report knowledge bases, the number of retrieval results is much lower than expected. Cause: The
RECALL_TOP_Nparameter is not adjusted to adapt to the total recall volume across multiple knowledge bases, resulting in allocated recall counts per single knowledge base.
How to Verify Successful Configuration
- Upload a single commercial real estate research report, check if the parsed segments retain complete context for core fields such as project location and rent, and confirm that the segmentation configuration is effective.
- Initiate a retrieval for a specific commercial project, compare the matching degree of returned results with preset standards, and confirm that the similarity threshold configuration is reasonable.
- After configuring multi-role access permissions, use different role accounts to initiate retrievals, confirm that only knowledge base content within the authorized scope is visible, and verify that the permission configuration is effective.
- Batch upload multiple commercial real estate research reports, check if the incremental update task automatically synchronizes the latest data at the preset interval, and confirm that the update interval configuration is correct.
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.