What the Data for This Category Looks Like
Data originates from public periodic reports of listed companies, audit documents issued by third-party audit firms, public financial report datasets from industry associations, and customized financial report working papers submitted by clients. Updates follow report cycles: periodic reports are updated quarterly and annually, while customized projects are updated per service cycles. Documents include structured financial statement fields such as operating revenue and attributable net profit, with units including ten thousand yuan and hundred million yuan. They also contain unstructured financial report notes and management analysis text. Content length varies widely, from a few pages to hundreds of pages.
Constraints Imposed on Vector Models and Indexing by These Characteristics
The mixed structured and unstructured data feature requires the indexing link to support both table structured parsing and long text chunk embedding. This prevents missing semantic associations of financial fields with a single embedding logic. The wide range of data lengths requires chunking strategies to balance context integrity and chunk granularity. This stops semantic breaks from over-splitting long text, or incomplete financial logic from overly short chunks. Regularly updated datasets need to support incremental indexing workflows to reduce resource usage from full reindexing. Customized financial report working papers use niche formats, so the system must support quick adaptation of custom embedding models. This ensures embedding consistency across different data sources.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Financial report notes and management analysis text are typically long. This range preserves complete semantics of accounting policies or business analysis |
chunk_overlap | 100–150 characters | Prevents context breaks after long text chunking, and ensures semantic coherence between adjacent chunks |
embedding_model | qwen3-embedding-8b / local M3E | Adapts to professional semantics in the financial report domain, supports publicly deployed or locally run embedding models |
retrieval_top_k | Top 8–12 results | Financial report analysis requires coverage of multi-dimensional financial indicators. Too many results increase computational load, while too few miss critical information |
similarity_threshold | 0.75–0.85 | Filters low-relevance chunks, and ensures semantic matching between retrieval results and financial report content |
incremental_index_enabled | Enabled | Adapts to regularly updated financial report datasets, and reduces resource consumption from full indexing |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require individual analysis. It is recommended to test using the reader’s own samples before finalizing settings.
Three Common Misconfigurations
- File status remains "Indexing" with no progress updates. Cause: Embedding model deployment address or access key is not configured correctly, leading to embedding call timeouts and stalled indexing processes.
- Existing configurations are overwritten after adding an embedding model with the same name. Cause: In FastGPT v4.9.11, embedding model configurations use names as unique identifiers. Duplicate names directly overwrite existing configuration items.
- Key financial table data is missing from retrieval results. Cause: Structured table parsing functionality is not enabled, leading to structured fields in reports not being correctly extracted and embedded, so they cannot participate in semantic retrieval.
How to Confirm Proper Configuration
- Access the embedding model configuration page, confirm the target model has been added, and that configuration parameters match the model deployment environment.
- Upload a single financial report sample file, check if indexing progress completes within a reasonable time frame with no persistent hanging status.
- Initiate a financial report analysis query, verify that the number of retrieval results matches the set retrievaltopk value, and no fields are abnormally missing.
- Test the incremental indexing functionality, upload an updated financial report file, confirm only newly added content is indexed, and no full reindexing is triggered.
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.