What does the data for this use case look like?
Data sources include specialized research reports from each internal business segment, publicly available industry research documents, and third-party compliant research report materials. Update cadence: internal group documents are updated alongside business milestones, while external materials are synchronized weekly. Document structure includes segment analysis modules, data appendices, and compliance statement pages. Fields include business segment ID, asset size value, update date, and compliance filing number. Units include 100 million yuan, person-times, and others.
What constraints do these characteristics impose on deployment and upgrade?
Multi-source data access creates configuration constraints. Support multiple document formats including PDF, Word with embedded tables, and structured Excel to prevent tabular data loss from some business segments. A high share of long documents requires adjusting context splitting and recall parameter thresholds to avoid truncation of key segment analysis. Distinguish metadata across business segments: retain fields such as business segment ID and compliance filing number, and do not filter them during preprocessing. For materials with different update cadences, set up differentiated incremental synchronization tasks, separate update cycles for internal documents and external materials, to avoid reloading full datasets.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Conglomerate research reports often contain multi-page tables and long text; extend parsing timeout to avoid mid-process interruptions |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single group research report may include large appendices with multiple sub-segments; allow larger file uploads |
maxContext | 8000–12000 characters | Long documents require complete segment analysis context to avoid loss of critical information |
Recall count | Top 8–12 results | Conglomerate research reports cover multiple business segments; need enough recall results to cover different segments |
PARSE_TABLE_ENABLE | Enabled | Research reports have structured tables embedded across multiple business segments; enable table parsing to retain field information |
Incremental sync interval | 1 hour (internal documents), 1 day (external materials) | Internal research reports have higher update frequency; external materials can use a longer synchronization cycle |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis; it is recommended to test on your own samples before finalizing.
Three Common Configuration Mistakes
- Symptom: FastGPT container throws
CUDA out of memoryerror after startup; logs show video memory usage exceeds threshold. Cause: Failed to adjust video memory allocation parameters for vector storage of long conglomerate research reports, and did not limit the number of documents parsed per batch. - Symptom: Nginx reverse proxy returns
502 Bad Gatewaystatus code, service cannot be accessed normally. Cause: Did not configure the Nginxproxy_read_timeoutparameter; connection timed out and was disconnected during long document parsing. - Symptom: Business segment ID field is missing from search results. Cause: Preprocessing stage had automatic non-core text filtering enabled, which mistakenly filtered metadata fields.
How to Verify Successful Configuration
- Upload an internal group research report, view the parsed metadata list, confirm that custom fields such as business segment ID and compliance filing number are retained.
- Run an incremental synchronization task, view the synchronization logs, confirm that update cycles for internal documents and external materials match the preset configuration.
- Initiate a search with keywords covering multiple business segments, view the coverage of returned results, confirm that the recall parameter configuration is effective.
- Access the Nginx reverse proxy address, test upload and search functions, confirm that no abnormal status codes are returned.
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.