What the data for this use case looks like
Data for general comprehensive financial report analysis comes from official periodic reports, temporary announcements, and publicly archived materials from stock exchanges issued by listed companies. Update cadence includes fixed quarterly and annual report disclosures, plus irregular temporary announcements such as performance revisions and connected transactions. Single document structure covers consolidated financial statements, financial notes, management discussion and analysis, and includes core fields such as attributable net profit, return on net assets, and earnings per share. Units include yuan, ten thousand yuan, and hundred million yuan; documents with cross-currency disclosures require additional handling of currency identifiers.
What constraints do these characteristics impose on the vector models and indexing link?
Financial report data has mixed features of structured tables and semi-structured text. Single document length varies significantly, ranging from a few pages of core reports to dozens of pages of notes and analysis content. The mixed update cadence of periodic and temporary reports requires indexes to support both full batch refresh and incremental trigger modes. The presence of multiple professional fields requires vector retrieval to distinguish different semantic priorities, avoiding noise interference from non-core fields. Additionally, financial report terminology is highly specialized, so vector model encoding accuracy for professional vocabulary must be ensured; otherwise, recall results will deviate from required targets.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Adapts to the long-text structure of financial report notes, avoids semantic breaks in individual segments, and controls the data volume of single vectors |
chunk_overlap | 150–200 characters | Financial report data has subject associations across paragraphs; overlapping segments preserve context coherence |
similarity_threshold | 0.75–0.85 | Financial report terminology is highly specialized; a higher threshold filters low-relevance recall results and improves retrieval precision |
rerank_top_k | Top 10 results | Financial report retrieval focuses on core subjects and data; excessive recall introduces unnecessary redundant content |
index_refresh_interval | Batch refresh per disclosure cycle, incremental update triggered by temporary announcements | Balances full update efficiency for periodic financial reports and timeliness requirements for temporary announcements |
embedding_batch_size | 32–64 | Adapts to memory usage for batch financial report processing, prevents task blocking caused by too much data submitted in a single batch |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Symptom: Vector indexing tasks remain uncompleted for extended periods with no progress updates. Cause: No reasonable
embedding_batch_sizeis set, and system resource throttling is triggered during batch processing of financial report data, leading to task blocking. - Symptom: Knowledge base retrieval returns irrelevant financial report fragments, with matching results deviating from core subjects. Cause:
similarity_thresholdis not adjusted for the professional financial report scenario; a threshold set too low causes low-similarity irrelevant content to be recalled. - Symptom: Indexing tasks time out and fail, returning a
504 Gateway Timeouterror. Cause: Batch update tasks are not split, and too much historical financial report data is loaded at once, exceeding system processing time limits. This timeout without retry mechanism defect exists in some open-source versions 4.8.17 and earlier.
How to verify correct configuration
- Upload a single complete financial report document, view the segmented fragment list, and verify that each fragment's length and overlap settings match expected values.
- Submit a query containing professional financial report terminology, check that the similarity scores of retrieval results fall within the preset threshold range.
- Submit a batch of financial report files for indexing, observe task completion speed, and confirm that no long-term queuing or out-of-memory prompts appear.
- Trigger an incremental indexing operation for temporary announcements, verify that the indexing task completes refresh in a short time, with no resource consumption associated with full reindexing.
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.