What this category’s data looks like
Specialized equipment category financial report data mainly comes from periodic reports and temporary announcements publicly disclosed by listed companies at home and abroad, as well as segmented category operation data released by industry associations. Data updates follow a fixed quarterly and annual schedule, with unscheduled updates triggered by temporary matters such as major equipment orders and capacity adjustments. The structure of a single financial report document includes consolidated financial statements, management's discussion and analysis, and core operating data sections. Core fields include equipment capacity, operating hours, revenue per unit, and the proportion of raw material costs in revenue, with units mostly being ten thousand yuan, units, and hours.
What constraints do these characteristics impose on the knowledge base retrieval and recall link
The data update rhythm of specialized equipment financial reports varies greatly, with fixed-period periodic reports and sudden temporary announcements coexisting. This requires the retrieval and recall link to distinguish the update priority and weight of data sources. Documents include long-text analysis and structured financial tables, so the recall matching logic must adapt to different format contents. Long text must be split to fit the model context window, and structured data requires precise matching of field dimensions. Core operating fields are mostly industry-specific professional terms, so a professional thesaurus is needed to improve recall accuracy. Dispersed multi-source data must be divided into knowledge base collections by data source type to avoid cross-category data interfering with retrieval results.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Fits the single-segment semantic length of split specialized equipment financial reports, avoiding exceeding model context limits |
recall_top_k | Top 15–20 results | There are many data sources related to specialized equipment financial reports, so a sufficient number of results must be recalled before reranking to filter accurate outcomes |
similarity_threshold | 0.72–0.78 | Industry-specific professional term matching requires a relatively high threshold to reduce the recall rate of irrelevant content |
knowledge_base_split_length | 800–1000 characters | Fits the semantic integrity of long-text analysis and structured tables in financial reports, avoiding damage to business logic from splitting |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Large annual report documents take longer to parse, preventing the parsing process from being interrupted by timeout |
enable_knowledge_collection_search | Enabled | Corresponds to the knowledge base collection search function added in version 4.9.13, supports nested retrieval across multiple knowledge base collections, and adapts to mixed retrieval needs of multi-source financial reports and industry data |
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 case-by-case analysis, and it is recommended to conduct actual tests on your own samples before finalizing settings.
Three common mistakes
- Nested knowledge base collection search calls return unexpected results, failing to accurately hit sub-knowledge base content. Cause: The knowledge base collection was not configured hierarchically, or the
enable_knowledge_collection_searchparameter was not enabled. - After performing a specified knowledge base content deletion operation, the retrieval results still include deleted old data. Cause: The vector database index was not updated synchronously, or cached data was not cleared.
- A
504 Gateway Timeouterror is triggered when parsing a single large specialized equipment financial report. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter value is too low, failing to adapt to the parsing time of long documents.
How to confirm the configuration is correct
- Upload a test specialized equipment financial report document, check whether the parsed segments match the
knowledge_base_split_lengthsetting, with no obvious semantic breaks. - Initiate a retrieval request for specialized equipment financial report keywords, verify whether the number of recalled results matches the
recall_top_kconfiguration, and that the relevance of the results to the retrieval requirement meets expectations. - Attempt to configure a nested knowledge base collection, verify that target content can be retrieved across sub-knowledge bases, and confirm that the collection search function is properly enabled.
- After performing a specified knowledge base content deletion operation, initiate a retrieval again to confirm that deleted content is no longer recalled, check the index update status. Also verify that the current number of knowledge bases does not exceed the platform limit, and confirm that the shunt logic for tool calls and MCP calls functions normally.
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.