What the data for this category looks like
Ordnance equipment financing daily report data comes from publicly disclosed defense industry channels. These include official announcements from ordnance equipment groups, listed information from stock exchanges, and public data from professional defense investment and financing platforms. Updates run once per day, with summary and organization of that day’s disclosed events completed after market close. Each daily report uses a structured table as its main body, with a detailed description for individual financing events. Core fields include target name, affiliated ordnance equipment sub-sector, financing round, financing amount, investor entity, disclosure date, and announcement source link. Financing amounts must be labeled with units to distinguish between ten thousand yuan and hundred million yuan.
Constraints on Vector Models and Indexing
The fixed daily incremental update requirement means the index must support lightweight incremental writes. This avoids wasted computing resources from full index reconstruction. The mixed structure of structured and unstructured text requires combined support for vector embedding and metadata filtering. This meets the need for filtering by specific dimensions. Differences in financing amount units may cause metadata matching errors. Unit formats must be unified before indexing. Disclosure date as a core time dimension requires the index to support fast filtering by time ranges. This matches user habits of querying by cycle. Additionally, financing events reposted across channels may have duplicate content. The index must have basic deduplication capabilities.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
incremental_index | Enabled | Financing daily reports are updated incrementally daily. Full index reconstruction uses significant computing resources, so incremental writing matches the update cadence |
chunk_size | 800–1200 characters | Text descriptions for individual financing events fall mostly within this range. Too long causes vector embedding distortion, too short loses contextual connections |
chunk_overlap | 50–80 characters | Retains contextual connections between adjacent segments, prevents key information from breaking during segmentation |
similarity_top_k | Top 8–12 results | The number of valid financing events disclosed per day is limited. Too many recall results introduce irrelevant data, too few fail to cover potential related information |
score_threshold | 0.80–0.87 | Filters duplicate financing events reposted across channels, while retaining reasonable text differences from different sources |
metadata_fields | `["target name", "disclosure date", "financing amount unit", "financing round"] | These fields are core dimensions for users to filter financing information. Including them in metadata indexing speeds up precise queries |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: Multiple identical financing event records appear in the index, or financing information for the same target appears repeatedly in recall results. Cause: Deduplication logic for incremental indexing is not enabled, or a reasonable similarity threshold is not set to filter duplicate embedding vectors.
- Issue: A `401 Unauthorized error code is returned when calling the vector model, and embedding tasks cannot be completed. Cause: The vector model API key is not configured correctly, key permissions are insufficient, or an expired key is used.
- Issue: The order of custom-split document chunks does not match the final recalled index order, resulting in content misalignment. Cause: No order identifiers for original document chunks are retained, or automatic deduplication disrupts the arrangement logic of original segments.
How to Confirm Proper Configuration
- Upload a single test financing daily report data, check the parsed chunk results in the knowledge base, confirm that chunk lengths match the set
chunk_size. - Submit two identical financing event queries, compare the repetition of recall results, adjust
score_thresholduntil duplicate content is filtered appropriately. - Check the index update log, confirm that daily incremental update tasks trigger normally, and no abnormal full index reconstruction logs are recorded.
- Configure metadata filtering conditions to filter financing information for specific targets or dates, confirm that recall results only include eligible entries.
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.