What data for this category looks like
Semiconductor industry research report data comes primarily from publicly disclosed reports from securities research institutes, industry associations, and industrial chain enterprises. Updates follow a quarterly baseline schedule, with supplementary releases tied to major events such as wafer fab production launches or new semiconductor industry policy announcements. Document structures typically include four core modules: core industry indicators, upstream and downstream supply and demand data, corporate revenue breakdowns, and policy interpretations. Most fields include clear units, such as monthly wafer production capacity (10,000 wafers/month), unit selling price (USD per chip), month-on-month growth rate (%). Documents also include the publishing organization and release date.
Constraints Imposed on Tool Calling and Plugins
Semiconductor research reports have specialized fields and unit requirements. Tool calling must precisely match target data dimensions to avoid distorted results from generalized extraction. The long document structure requires tool calling to split context by chapter, to prevent cross-chapter data confusion. The quarterly update rhythm requires plugins to support both scheduled synchronization and emergency update triggers, to adapt to both routine and unexpected research report release scenarios. The high similarity of specialized terminology requires tool calling to use domain-specific thesauri to filter irrelevant results, improving retrieval accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
rag_chunk_size | 800–1200 characters | Core data paragraphs in semiconductor research reports are mostly 800-1200 characters long. Splitting this way preserves the connection between indicators and their context |
rag_top_k | Top 6–8 results | Core indicators in semiconductor research reports are spread across different chapters. Too many recalled results introduce redundant data; too few omit critical industrial chain data |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Individual semiconductor research report documents have long lengths. A long timeout prevents parsing interruptions |
vector_store_similarity_threshold | 0.75–0.85 | Specialized terminology in the semiconductor field has high similarity. A threshold that is too low introduces irrelevant reports; a threshold that is too high omits niche data within the same domain |
plugin_sync_cron | 0 0 2 * * 1 (2:00 AM every Monday) | Routine update cycles for securities research reports are weekly. Scheduled synchronization ensures data timeliness |
function_call_enable | Enabled | Structured extraction of specialized indicators is required for semiconductor research report retrieval. Enabling this allows tool calling to return standardized field results |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Tool calling returns
400 Bad Request, and the console shows "function call not supported". Cause: one-api was used as a proxy tool, and model configuration supporting function calling was not enabled. - Symptom: Knowledge base retrieval operates normally, but tool calling has no response or returns empty results. Cause: The model deployed via ollama does not have function calling capability enabled, or the corresponding model calling address was not configured in FastGPT.
- Symptom: When using the Tongyi Multimodal Embedding Model, specialized terminology in semiconductor research reports cannot be retrieved correctly. Cause: A compatible embedding model calling chain was not configured, or domain adaptation rules for multimodal embeddings were not enabled.
How to Verify Successful Configuration
- Manually upload a publicly available semiconductor research report, trigger tool calling, and check if the returned results include preset specialized indicator fields.
- Review FastGPT tool calling logs, confirm no timeouts or proxy errors appear in the call chain, and that the status code is
200 OK. - Adjust the
rag_top_kparameter, compare retrieval results across different values, and confirm the number of recalled results meets business requirements. - Confirm FastGPT version is 4.9.0 or higher. This version supports native function calling and plugin synchronization functions. Trigger the manual synchronization function, and check if the latest semiconductor research report data has been updated in the knowledge base.
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.