What this category's data looks like
Packaging and printing industry financial report data mainly comes from public annual reports, quarterly reports, and temporary announcements of listed companies. Update rhythm matches disclosure cycles: annual reports are updated once per year, quarterly reports are updated each quarter, and temporary announcements are released alongside major events. Single financial report document includes segmented fields such as revenue structure (e.g., paper packaging, plastic packaging segmented revenue), raw material costs (paper pulp, plastic particle consumption and unit prices), capacity utilization rate, die-cutting pass rate, and more. Units include square meters, tons, percentages, ten thousand yuan, and others. Most documents use tables paired with text explanations. Some enterprises publish operational data for segmented production lines.
What constraints do these characteristics impose on the "knowledge base retrieval and recall" link
Fixed update cycles for publicly disclosed financial reports require the knowledge base to support incremental synchronization and scheduled full updates, to avoid missing latest temporary announcements and quarterly data. Segmented fields have large semantic differences. For example, "per square meter printing cost" differs from industry general cost indicators, requiring precise field matching to avoid generalized retrieval. Single financial report documents are lengthy, containing multiple pages of tables and detailed data. This requires the retrieval link to support long document segmentation and field-level recall, while controlling segmentation granularity to avoid context fragmentation. High update frequency of temporary announcements requires configuring an incremental indexing mechanism to reduce resource consumption from full retrieval.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Segmented data paragraphs in packaging and printing financial reports are lengthy. This range preserves complete cost and capacity related fields, while adapting to context limits of mainstream large language models |
Recall count | Top 8–12 results | Packaging and printing financial reports include multiple segmented indicators. Sufficient recall volume covers multi-dimensional analysis needs such as pulp cost, operating rate, and R&D investment |
Similarity threshold | 0.72–0.78 | Semantic similarity requirements for segmented fields are high. This range filters irrelevant general industry data, while retaining accurately matched packaging and printing segmented financial report entries |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single packaging and printing annual report contains multiple pages of tables and detailed data, with long parsing time. This duration prevents parsing tasks from failing midway |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Supports batch upload of annual financial report collections and segmented data files from industry associations, adapting to batch import requirements |
Rerank result count | Top 3–5 results | Prioritizes returning the most relevant segmented financial report data, simplifying information screening workflows for downstream analysis |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test against your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Workflows and knowledge base configurations are cleared after a period of deployment, while interfaces remain functional. Cause: No persistent mount directory is configured. Local storage of knowledge base indexes and workflow configurations is lost after container restart. This issue is common in docker-compose deployment scenarios without external storage binding.
- Phenomenon: Retrieval results include the default text "FastGPT is a large language model (LLM) based knowledge base question answering system". Cause: The general introduction segment in the system default prompt is not disabled, causing all responses to include this fixed content.
- Phenomenon: Knowledge base retrieval speed is slow, with single query taking over 10 seconds. Cause: No index sharding is configured for the vector database, and total recalled documents are not limited, leading to full retrieval of unfiltered packaging and printing financial report data.
How to confirm correct configuration
- Check the vector database index list, confirm that it includes vector data entries for packaging and printing industry financial reports, and that the update time matches the latest disclosure cycle.
- Initiate a test query, enter "What was the pulp cost proportion of packaging and printing enterprises in 202X", verify that returned fields and units comply with financial report disclosure specifications.
- Check the docker-compose mount configuration, confirm that knowledge base indexes and workflow data are persisted to external storage directories, to avoid data loss after container restart.
- Review retrieval logs, confirm that the number of recalled documents matches the
Recall countconfiguration parameter, and that similarity scores fall within the preset range.
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.