Knowledge Base Retrieval and Reranking for Wind Power Financial Report Analysis

Wind power financial report data mainly comes from public annual reports, semi-annual briefings of listed wind power enterprises, monthly operation

What the data for this category looks like

Wind power financial report data mainly comes from public annual reports, semi-annual briefings of listed wind power enterprises, monthly operation reports of industry associations, and public data from grid-connected dispatch institutions. Update cycles are divided into three categories: full annual financial reports, semi-annual business briefings, and monthly operation snapshots. Each document includes multiple professional fields such as business revenue breakdown, installed capacity, unit cost, and cash flow details. Most field units use gigawatt (GW), megawatt (MW), yuan/kilowatt, etc. Some overseas-disclosed financial reports have bilingual terms and content.

Constraints for knowledge base retrieval and reranking

Diverse update cycles for wind power financial report data require the knowledge base to support both frequent incremental synchronization and full updates. This prevents data lag. Long documents with multi-dimensional professional fields require the retrieval link to support long text segment parsing and precise field matching. This prevents truncation of key business information. Bilingual content has semantic alignment differences, which can cause cross-language recall bias. Additional processing for multilingual semantic consistency is required. Multiple unit specifications require unified unit mapping before retrieval. This prevents invalid recall caused by unit mismatches.

Configuration Settings

Configuration KeyRecommended ValueRationale
recall_countTop 8–12 entriesWind power financial report documents contain professional fields across multiple business dimensions. This range covers sufficient content scope to avoid missing key data
similarity_threshold0.75–0.85Financial report terms are highly professional. This range balances recall precision and coverage, avoiding missed professional terms or irrelevant content
segment_length1000–1500 charactersSingle financial report documents have long length. This segment length preserves semantic integrity of professional terms and avoids truncating key fields
PARSE_FILE_TIMEOUT_SECONDS300 secondsLong financial report documents take longer to parse. Extending the timeout prevents document upload failures caused by parsing timeouts
rerank_return_countTop 4–6 entriesSecondary sorting of recall results retains content most matching financial report analysis requirements, improving answer precision

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. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • Issue: After importing a financial report knowledge base with bilingual content, the large model fails to reference Chinese content from the knowledge base. Cause: Multilingual semantic matching configuration is not enabled. The retrieval link only matches against single-language text, so bilingual professional terms cannot be correctly recalled.
  • Issue: A knowledge base association is configured in the workflow, but the large model's thinking process prompts that no available knowledge base content is retrieved. Cause: The dataset ID is not correctly bound in the knowledge base retrieval node, or global variables are not correctly passed to the parameter configuration of the retrieval node. This prevents the retrieval node from calling the target knowledge base.
  • Issue: The retrieval results contain a large amount of irrelevant industry-general content, and do not precisely match financial report fields. Cause: The similarity threshold is set too low, causing low-relevance text to be included in recall results and reducing answer precision.

How to Confirm Proper Configuration

  • Upload a single complete wind power financial report document, check the platform's parsing logs, and confirm there are no parsing timeout or format error prompts.
  • Enter professional wind power financial report terms to trigger knowledge base retrieval, verify that the recalled results cover expected business fields and units.
  • Configure the global variable datasetid in the workflow, check the parameter binding interface of the retrieval node, and confirm the variable is correctly mapped to the dataset ID parameter.
  • Submit a financial report question that includes bilingual terms, verify that the large model's answer references corresponding content from the knowledge base.

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.