What the Data for This Category Looks Like
Data sources include local housing and urban-rural development department project filing public notices, local financial supervision bureau financing credit filing records, and transaction ledgers from industry supply chain service platforms. Updates occur daily, covering newly added consumer building materials financing projects from the current day. Each document uses a structured table format, with the following fields: full name of financing entity, financing amount (unit: ten thousand yuan), financing method, loan date, corresponding building materials sub-category, administrative region where the project is located, and full name of the credit granting institution. Each record includes a brief project description, typically 100 to 300 words in length.
Constraints Imposed by These Data Characteristics on Retrieval and Recall
The combination of structured fields and short text descriptions requires retrieval to cover both structured metadata matching and semantic recall. This prevents field information loss that occurs when relying solely on text vectors. The daily incremental update rhythm requires configuring incremental synchronization logic. This avoids resource waste and duplicate data caused by full indexing. Classification fields such as administrative region and building materials sub-category must support precise metadata filtering to narrow the scope of recall candidates. The financing amount is a numeric field, so it needs to support numeric range retrieval logic, which differs from parameter configurations for general text retrieval. The fixed length limit of short text descriptions requires controlling the total character count of recalled context. This prevents irrelevant redundant information from interfering with subsequent generation steps.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Adapts to the short text description attached to each record, avoids splitting that breaks complete semantics, and ensures a reasonable granularity for vector extraction |
recall_top_k | 8–12 entries | The daily update volume of consumer building materials financing daily reports is moderate. Too many recall entries will increase context redundancy, while too few will fail to cover relevant financing projects |
metadata_filter_enabled | Enabled | Supports filtering by structured fields such as administrative region, building materials sub-category, and financing method, to accurately narrow the scope of recall candidates |
numeric_search_enabled | Enabled | Adapts to the numeric financing amount field, supports retrieval by amount range, and matches business query requirements |
vector_model | text-embedding-3-small (or open-source vector models of similar scale) | Adapts to short text semantic extraction, balances recall accuracy and computing cost |
incremental_sync_enabled | Enabled | Adapts to the daily incremental update data characteristics, avoids resource waste and duplicate data caused by full indexing |
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. Each scenario requires separate analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfiguration Scenarios
- Symptom: After switching the
vector_modelconfiguration, the interface shows the index task status as "Pending" with no progress for more than 2 hours, and the original model configuration cannot be restored. Cause: Did not select incremental synchronization mode after configuration changes, directly triggering a full reindex that occupies system resources, and failed to retain the old model's index cache, leading to switching failure. - Symptom: When retrieving financing projects for a specified administrative region or building materials category, some eligible records are not recalled, and the number of recall results is far lower than expected. Cause: Did not enable the
metadata_filter_enabledconfiguration, and did not filter candidate sets through structured fields, resulting in a semantic recall coverage range that does not match business needs. - Symptom: When calling the knowledge base tool module in a workflow, the returned result is empty or does not contain the expected financing daily report content. Cause: Did not bind the corresponding consumer building materials financing daily report knowledge base in the workflow configuration, or the
recall_top_kparameter value is too low, resulting in the results not being returned.
How to Confirm Successful Configuration
- Access the knowledge base synchronization log panel, confirm that incremental synchronization tasks run normally each day, with no "Sync Failed" error entries.
- Submit a structured query with conditions such as administrative region, building materials category, or financing amount range. Verify that the filtering function operates correctly, and results only include eligible records.
- Submit a semantic query, and confirm that the number of recalled results aligns with business expectations, with no obvious redundant or missing relevant financing projects.
- Test the knowledge base tool call within a workflow, pass valid query conditions, and confirm that retrieved financing daily report content is returned correctly.
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.