What data for this category looks like
Data sources for software development financing daily reports include public financing disclosures from software development enterprises, filing information from industry self-regulatory organizations, and financing publicity data from third-party credit reporting agencies. Update frequency is daily, except for some derived data that aggregates across regions. Document structures primarily use structured tables, with fields including full enterprise name, financing round, financing amount, investor list, financing completion date, affiliated track, core business direction, and others. Amount fields mostly use ten thousand yuan or hundred million yuan as units. Date fields follow the YYYY-MM-DD standard format. Financing round fields use industry-standard terminology uniformly.
What constraints do these characteristics impose on knowledge base retrieval and recall
The high proportion of structured data requires retrieval to prioritize exact field matching, instead of full-text keyword matching, to avoid irrelevant information interference. The daily update rhythm requires the knowledge base to support incremental synchronization. Full updates cannot meet business timeliness requirements. The multi-field structure requires recall results to be sorted by business priority, for example, displaying recent financing records first. Consistency of field units and terminology requires standardization processing in advance, otherwise retrieval results will be disordered. The track segmentation feature requires vector indexes to be partitioned by track, narrowing the retrieval scope to improve accuracy.
Configuration settings
| Config Item | Recommended Value | Rationale |
|---|---|---|
Recall count | Top 10-15 | Core business decisions for software development financing daily reports rely on valid information from the most recent 10 records. Excessive results increase business screening costs |
Similarity threshold | 0.75-0.85 | Structured field matching requires high precision to avoid mixing non-target track or non-recent financing records into retrieval results |
Chunk size | 800-1200 characters | A single financing daily report record contains multiple fields. Too long a segment will split field associations, while too short a segment will lose contextual semantics |
Incremental Update Trigger Interval | Every 24 hours | Daily report data is updated daily. This interval ensures knowledge base timeliness while avoiding frequent updates that consume system resources |
Rerank result count | Top 5-8 | Business personnel only need to view the most relevant top results. Reranking optimizes sorting accuracy and reduces display of invalid information |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Batch parsing of structured documents requires sufficient time to avoid parsing failures due to timeouts |
UPLOAD_FILE_MAX_SIZE | 50 MB | The average size of single batch financing daily report files matches this value, avoiding upload interruptions caused by overly large files |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on in-house samples before finalizing settings.
Three common mistakes
- Phenomenon: After restoring a backup node, the backend knowledge base shows empty data or fails to load existing data. Cause: The backup only exported the project configuration file, and did not synchronize the vector index file of the knowledge base. A complete recovery requires backing up both the vector database storage data and the configuration files.
- Phenomenon: Imported PDF-format financing daily report files cannot be opened in retrieval results, or extracted content lacks key fields. Cause: The structured parsing switch for PDF documents is not enabled. Only basic metadata is extracted, and no association mapping between text content and fields is completed.
- Phenomenon: The reranking model continues to occupy video memory after knowledge base retrieval is completed, and does not automatically release resources when the task ends. Cause: Parameters for automatically unloading the reranking model after retrieval is completed are not configured. Video memory resources are not recycled according to the task lifecycle.
How to confirm correct configuration
- A latest software development financing daily report sample may be manually uploaded. Check if retrieval results include all key fields of the sample to verify field extraction accuracy.
- The similarity threshold may be adjusted. Verify that changes in retrieval result relevance meet business expectations to confirm the threshold configuration is reasonable.
- Wait one update cycle. Check if the knowledge base automatically synchronizes new daily report data to confirm the incremental update process is running normally.
- A batch retrieval task may be executed. Check system video memory usage to confirm the reranking model releases occupied resources after the task ends.
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.