What the data for this category looks like
Data sources for film and theater industry research reports include three types: public theater operation interfaces purchased by financial institutions, special reports from domestic film industry research institutions, and settlement data from theater terminals. These serve investment analysis and industry research scenarios in the financial field.
Update frequencies vary: scheduling data is updated daily, single-day box office settlement data refreshes per natural day, and in-depth industry research reports are released weekly or monthly. Each document includes a metadata section, regional theater data tables, key theater operation details, and schedule analysis chapters. Core fields include report ID, publishing institution, release time, theater affiliated region, single-day number of viewers, single-day revenue, and scheduled screenings.
Constraints on Citation Source and Traceability Workflow
The data sources for film and theater industry research reports fall into two categories: real-time interfaces and static reports. They also serve financial investment analysis scenarios. This means traceability must support dual-dimensional recording of interface call identifiers and file paths, to meet compliance traceability requirements in financial scenarios.
There are large differences in data update frequencies: scheduling data refreshes daily, while industry research reports are released weekly. Traceability must bind the release timestamp of the corresponding data, to avoid referencing expired content that impacts investment decisions.
Documents include structured tables and detailed entries, so traceability must accurately locate specific rows or chapters. Covering entire documents cannot cover detailed content.
Fields include clear business identifiers, so traceability must match field names and specific value ranges, to ensure referenced content aligns with the business scenario of financial analysis.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_top_k | Top 6-8 results | Film and theater industry research reports contain multi-dimensional business entries. This recall quantity can cover core business scenarios while avoiding redundancy |
similarity_threshold | 0.75-0.85 | Business semantic relevance in film research reports is strong. This threshold filters irrelevant recalls while retaining valid matching content |
source_cite_fields | Report ID, release time, affiliated region | Core traceability dimensions for film and theater data are report identity, timeliness, and geographic scope, which ensures accurate citations |
parse_chunk_size | 800-1200 characters | Tables and paragraph lengths in single film and theater industry research reports are moderate. This chunk size preserves complete business context |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Single research reports contain multiple tables and detailed entries. This timeout setting covers the full parsing process |
The parameter values provided on this page are general recommendations used as a starting point 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 on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: Retrieved content returns responses that do not strictly use knowledge base original text, and include additional generated content. Cause:
source_cite_fieldsis not correctly configured to only recall knowledge base content, or the recall threshold is set too high, causing irrelevant content to be included. - Phenomenon: The interface displays that source data has been associated, but no citation sources are shown in the response. Cause: The
enable_citeconfiguration item is not enabled, or the citation display template is not correctly bound to source data fields. - Phenomenon: When using
text-embedding-3-largeas the indexing model, the service experiences lag and unresponsiveness. The issue is not resolved after commenting out the model configuration. Cause: Existing old vector index cache has not been cleared, or system memory allocation is insufficient to support batch calculations for this model.
How to Verify Successful Configuration
- Upload a single film and theater industry research report document, trigger a retrieval, and check the citation identifier in the returned results to confirm that the preset traceability fields are included.
- Adjust the
recall_top_kparameter value, verify that the number of recalls changes with the configuration, to ensure the parameter takes effect. - Simulate multi-layer business query scenarios, verify that the citation source of each retrieval corresponds to the business dimension of the current query, and no cross-scenario or expired data appears.
- Check system operation logs to confirm that no timeout errors occur in the parsing and recall processes, and no abnormal error reports appear for vector model calls.
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.