What the data for this category looks like
Data for chemical fiber research reports comes primarily from public industry association reports, securities firm chemical industry research reports, and upstream and downstream industrial chain public data platforms. Updates follow a weekly schedule for industry trend weekly reports, and a monthly schedule for in-depth analysis research reports. Most documents combine long texts with structured data tables, including fields such as raw material grades, production capacity scale, raw material prices, downstream order volume, and monthly operation data. Units follow industrial measurement standards including tons, yuan/ton, and some documents include Excel attachments with structured data.
What constraints these characteristics impose on deployment and upgrade
Chemical fiber research reports contain large volumes of structured industrial data and long-text analysis. During deployment, adapt the structured data parsing process to prevent generic parsing modules from losing table fields. Given the high update frequency, configure reasonable intervals for scheduled synchronization tasks to avoid data lag. Single reports have high word counts, so adjust text chunking parameters to retain complete industrial chain logic, while avoiding overly long chunks that cause context overflow. Additionally, the specialized nature of industrial terms requires vector recall matching accuracy to adapt to subfield vocabulary features. During upgrades, synchronously update the domain lexicon to improve retrieval relevance.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Total volume of a single chemical fiber research report and supporting attachments is usually large, prevents upload interruptions |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing long-text research reports and embedded structured tables requires sufficient time, prevents premature parsing termination |
Chunk size | 800–1200 characters | Balances integrity of industrial chain logic in research reports and vector recall accuracy, avoids overly fragmented or overly long chunks |
Recall count | Top 8–12 entries | Chemical fiber research reports have high density of specialized terms, appropriate recall volume covers key data nodes |
Similarity threshold | 0.75–0.85 | Filters low-match irrelevant documents, retains research report content strongly related to the chemical fiber subfield |
Rerank result count | Top 3–5 entries | Focuses on the most relevant core data and analysis conclusions, reduces redundancy of retrieval results |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: After container startup, logs display
CUDA error: out of memory, or the frontend interface shows retrieval result loading timeout. Cause: Failed to correctly map GPU devices to the container, or GPU memory allocation parameters do not match the memory requirements of chemical fiber research report parsing and vector calculation. - Phenomenon: External access to the FastGPT interface prompts 502 Bad Gateway, or API requests have no response. Cause: Failed to correctly configure Nginx reverse proxy port mapping and request headers, or failed to expose the FastGPT port inside the container to the corresponding port on the host machine.
- Phenomenon: Content returned when calling a specified model does not match the expected professional analysis style. Cause: Failed to specify the correct model version in the model configuration, and the default call uses a model version not adapted to the subfield.
How to confirm the configuration is complete
- Upload a locally saved chemical fiber research report PDF, check if the parsed text retains the original structured table fields with no obvious content loss.
- Run a scheduled synchronization task once, check if the system successfully pulls the latest industry research report data with no synchronization failure logs.
- Initiate a retrieval request targeting the chemical fiber subfield, check if the relevance and quantity of returned results match the expected configuration.
- View container runtime logs, confirm that the GPU device has been correctly identified with no prompts for out-of-memory errors or connection errors.
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.