What this category of data looks like
Data sources primarily include industry association public statistics, brokerage investment research reports, listed company periodic reports, upstream raw material price databases, and patent retrieval platforms. Update rhythms vary significantly. Raw material prices are updated daily. Periodic reports are updated quarterly or annually. Research reports are updated weekly or monthly.
Document structures include structured tables (such as production capacity, price, and revenue data), paragraph-style professional discussions, and patent metadata fields. Dedicated measurement identifiers include inches (for panel size), yuan per square meter (for raw material prices), thousand pieces per month (for production capacity), and pieces (for patent application counts), among others.
What constraints do these characteristics bring to the knowledge base retrieval and recall link?
Multi-source heterogeneous data structures require retrieval systems to support both structured field retrieval and non-semantic vector retrieval. This prevents missed accurately matched financial report data or patent information.
Data sources with different update frequencies need adapted incremental update strategies. Without such adaptations, data lag or synchronization redundancy will occur.
Long documents, such as dozens of pages of industry research reports, require reasonable segmentation rules. Improper rules will disrupt the contextual association of professional terms, or lead to excessive vector index volume.
The dedicated measurement and terminology system requires retrieval thresholds adapted to the industry context. This avoids mixing in irrelevant general technology documents.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | Top 10-15 entries | The optoelectronics industry has numerous segmented tracks, including panel, LED, photovoltaic module and other categories. Too many recalled entries will introduce irrelevant content, while too few will fail to cover core research requirements |
similarity threshold | 0.72-0.85 | The industry has many dedicated terms such as Mini LED, Micro LED, and OLED evaporation process. A threshold that is too low will mix in documents from unrelated tracks, while a threshold that is too high will miss accurately matched professional content |
segment length | 800-1200 characters | Industry documents include long paragraphs of technical discussions and nested tables. Too short a segment will split term contexts, while too long a segment will increase vector retrieval calculation costs |
incremental update interval | 1 hour - 24 hours | Raw material prices are updated daily, so a 1-hour interval can be used. Periodic reports are updated quarterly, so a 24-hour interval can be used. This adapts to the update rhythms of different data sources |
rerank return count | Top 3-5 entries | Investment research scenarios only require core, accurate reference content. Too many returned entries will distract decision-making attention |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing long research reports or patent documents takes a long time. This setting avoids parsing failures caused by timeouts |
The parameter values provided on this page are all conventional recommendations, used as starting points for configuration determination. 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 configuration errors
- Phenomenon: Retrieval time exceeds 10 seconds, and logs during the vector retrieval phase show high latency. Cause: The segment length was not adjusted for long documents, resulting in too many vector database shards and increased retrieval traversal costs.
- Phenomenon: Error logs starting with
2024-12-are returned when calling knowledge base question answering. Cause: After upgrading to version 4.8.12, previously uploaded optoelectronics documents were not re-synced, and the old parsing format is incompatible with the new version. - Phenomenon: New documents cannot be uploaded when creating a knowledge base, with a storage quota insufficient prompt. Cause: The open-source version's knowledge base storage quota parameter was not adjusted, and the default quota does not adapt to the storage needs of multiple industry documents.
How to confirm correct configuration
- Upload a typical optoelectronics industry research report, and verify that the parsed segment character count falls within the configured value range.
- Enter industry-specific terms, and verify that the number of recalled documents matches the configured recall count setting, and that similarity scores fall within the set threshold range.
- Trigger an incremental update task, and confirm that documents from the corresponding data source are synchronized within the set interval, with no synchronization failure prompts.
- Initiate a knowledge base question answering request, and verify that the returned results have no parsing timeout or format error prompts.
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.