What the data for this category looks like
Wind power industry financial report data primarily comes from regular disclosure announcements of publicly traded wind power enterprises at home and abroad, and public statistical reports from industry associations. Update cycles follow quarterly, semi-annual, and annual core periods, with ad-hoc announcements such as major project grid connection and capacity adjustment information released at any time. Individual financial report documents include modules such as installed capacity, utilization hours, revenue composition, cost structure, and cash flow. Most fields have clear units, such as cumulative installed capacity (ten thousand kilowatts), unit construction cost (yuan/kilowatt), and utilization hours (hours).
Constraints imposed by these characteristics on vector models and indexing
The multi-unit fields and segmented business module structure of wind power financial reports require vector models to adapt to text semantics that include clear numerical units, and avoid semantic fragmentation of units such as ten thousand kilowatts and hours. The high-frequency update rhythm of coexisting regular reports and ad-hoc announcements requires indexes to support parallel processing of incremental updates and batch indexing. Individual documents contain multi-dimensional professional business data with large length spans, so reasonable segmentation rules must be configured to avoid semantic breaks across modules. At the same time, financial report industry terminology is dense, so vector models adapted to industrial financial report semantics must be selected to improve recall accuracy.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
embedding_model | text-embedding-ada-002 or open-source models adapted to industrial financial reports | Adapts to the professional terminology and numerical unit semantics of wind power financial reports, improving encoding accuracy |
chunk_size | 800–1200 characters | The length of single-segment business data in wind power financial reports is concentrated in this range, avoiding semantic splitting across modules |
chunk_overlap | 100–150 characters | Retains semantic association between adjacent segments, adapting to continuous business data logic in financial reports |
index_batch_size | 50–100 items/batch | Balances indexing speed and server resource usage, adapting to batch indexing requirements for hundreds of thousands of data entries |
vector_db_retrieve_topk | Top 10–15 results | Covers the multi-dimensional business data requirements of wind power financial reports, avoiding excessive recall that increases subsequent processing burden |
embedding_api_timeout | 60 seconds | Vector models require longer response times to process professional financial report text, reserving sufficient call duration |
enable_incremental_index | Enabled | Adapts to the real-time update requirements of ad-hoc announcements in wind power financial reports, reducing repeated calculations from full indexing |
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 specific analysis, and it is recommended to conduct tests on your own samples before finalizing.
Three common misconfigurations
- Phenomenon: After the knowledge base completes indexing of hundreds of thousands of data entries, search response speed is too slow, and the cause is mistakenly attributed to the vector model. Cause: The vector recall and language model generation links are not distinguished. When generating answers from long wind power financial report texts, the language model needs to process a large amount of recalled context, resulting in delays.
- Phenomenon: The
text-embedding-ada-002model has been added to the configuration file, and the configuration has been completed in the channel management of version V4.8.20-FIX2, but an error of "no available vector model" occurs when calling the knowledge base. Cause: The vector model channel is not set to the default enabled state, or the channel key is not filled correctly, causing the platform to fail to recognize the available model. - Phenomenon: Search results only include regular report data, and do not cover recently released ad-hoc announcements. Cause: The incremental indexing function is not enabled, only the full initial indexing is performed, and subsequent released ad-hoc announcement data is not synchronized for updates.
How to verify correct configuration
- Enter the vector model management interface, check the configured model name and channel information, and confirm that it matches the actually deployed model.
- Perform an indexing test for a single financial report document, and check whether the segmentation results conform to the preset
chunk_sizeandchunk_overlapconfigurations. - Initiate a search test, compare the number of vector recall results with the
vector_db_retrieve_topkconfiguration value, and confirm that the number of recalls meets expectations. - Upload an ad-hoc announcement document, perform incremental indexing, and confirm that the document content is included in the search results after indexing is completed.
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.