What the data for this category looks like
Solid waste treatment marketing content data sources include industry policy documents, project implementation case documents, equipment parameter manuals, customer consultation FAQs, and industry research reports. Content targeting financial institutional investors also includes project financing calculation data. Update rhythms vary: policy documents are updated quarterly or annually per regulatory requirements, project cases are updated in real time with newly launched projects, equipment parameters are updated with product iterations, and FAQs are adjusted as new customer inquiries are added. Document structures are divided into three categories: policy documents (include document number, issuing authority, scope of application, disposal requirements), project documents (include location, processing capacity, equipment model, operational data, financing calculations), and equipment documents (include model, processing capacity, energy consumption, material). Field units include professional metering identifiers such as tons/day, kWh/ton, and financing amount.
What constraints these characteristics impose on the "model integration and configuration" link
Solid waste treatment marketing content targeting financial institutional investors must include both policy compliance content and financing calculation data. Policy documents are lengthy and contain a large number of professional terms, requiring the model to have a sufficiently long context window to process full text without information truncation. Project cases include both structured numerical values and unstructured descriptions, requiring layered recall rules to be configured to distinguish and match policy compliance content, project operation practice, and financing calculation content. The units and precision requirements for equipment parameters and financing data are strict. The original units of fields must be retained when the model is called to avoid generating incorrect metering expressions. The update rhythm of marketing content varies greatly, so timed synchronization trigger parameters need to be configured to match the update frequencies of different types of content and ensure content timeliness.
How to set the configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Solid waste treatment policy and project documents are lengthy, and full context must be covered to accurately generate compliant marketing content |
chunkSize | 1200–1500 characters | The text structure of solid waste equipment parameters and project cases is suitable for this segment length, which can retain field integrity and readability |
similarityThreshold | 0.72–0.85 | Professional terms and general expressions need to be distinguished to avoid recalling irrelevant policy or equipment content and improve the accuracy of marketing content |
recallTopK | Top 6–8 entries | Marketing content needs to balance policy compliance and project practicality, recalling an appropriate amount of content to support generation logic |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large solid waste project case documents take a long time to parse, avoiding parsing failure due to timeout |
UPLOAD_FILE_MAX_SIZE | 500 MB | Can accommodate batches of equipment manuals, policy compilations and other documents, adapting to the upload needs of batch marketing materials |
The parameter values provided on this page are conventional 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, and it is recommended to test on your own samples before finalizing.
Three common misconfigurations
- The symptom is an error returned when calling after adding a knowledge base, with a 500 status code. The cause is failure to adapt to the long text segmentation of solid waste treatment documents, leading to context overflow after segmentation. This issue is relatively common in FastGPT 4.8.14.
- The symptom is that the configured local large model cannot be selected during model calling. The cause is failure to correctly configure
API_BASE_URLto point to the interface address of the local model, or failure to fill in the model name consistent with the local model. - The symptom is incorrect equipment parameter units in the generated marketing content. The cause is failure to retain the original unit information of the fields when recalling content, leading the model to generate metering expressions that do not comply with industry specifications.
How to confirm the configuration is complete
- Upload a solid waste treatment equipment manual document, check whether the parsed segments retain complete parameter fields and units, and verify whether the segment length matches the configured value.
- Initiate a model call, check whether the returned model list includes the configured local large model, and verify whether the interface address and model name are correct.
- Test generating a marketing content for a solid waste treatment project, check whether the generated content includes accurate policy basis and equipment parameters, and verify whether the number of recalled content matches the configured value.
- Upload a document exceeding the set size, check whether the upload limit prompt is triggered, and verify whether the
UPLOAD_FILE_MAX_SIZEconfiguration takes effect.
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.