What the data for this category looks like
Data sources include public annual and semi-annual financial reports of solid waste treatment enterprises, solid waste disposal permits and emission data published by ecological environment departments, and monthly ledger data from project operation terminals. Financial report data is updated quarterly and annually. Regulatory public data is updated alongside project approval or rectification status. Operation ledger data is updated daily or weekly. A single financial report document includes sections such as solid waste disposal revenue, processing volume, cost, and compliance status. Regulatory data is provided in structured tables. Operation ledgers consist of timestamped detailed entries. Processing volume mostly uses tons and cubic meters as units. Revenue is measured in yuan. Compliance indicators such as exhaust emissions use mg/m³. Ledger fields include disposal date, disposal type, quantity, handler, and other related fields.
What constraints do these characteristics impose on multi-turn dialogue and prompt engineering
The quarterly and annual update cycle of data requires multi-turn dialogue to actively guide users to clarify the query report period, avoiding confusion across different cycles. The coexistence of structured regulatory tables and unstructured financial report text requires prompts to specify data type differentiation rules, preventing incorrect data source calls. The presence of multiple fields and units requires prompts to include unit verification logic, avoiding mixing tons with cubic meters, or yuan with ten thousand yuan. The multi-source data feature requires multi-turn dialogue to gradually confirm the authority of data sources, ensuring responses are based on compliant public data.
Configuration Settings
| Configuration Item | Recommended Values | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single solid waste treatment financial report documents have large volume. Multi-turn dialogue needs to retain context from multiple interactions to avoid truncating core data |
segment length | 1500–2000 characters | Core sections of solid waste financial reports, such as disposal revenue and processing volume, have concentrated content. Chunk length adapts to section boundaries, avoiding breaking field associations |
retrieval count | Top 6–8 entries | Core information of solid waste financial reports is concentrated in a small number of paragraphs. Excessive retrieval will introduce redundant content unrelated to solid waste |
similarity threshold | 0.75–0.85 | Specialized terminology in the solid waste field has high distinctiveness. A threshold that is too low will introduce financial report data from unrelated industries |
reranked return count | Top 3–4 entries | Retaining a small number of highly relevant entries after reranking can cover the core needs of user queries, improving response efficiency |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing a single annual financial report document takes a long time. This avoids parsing failure due to timeout |
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. Each scenario requires individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Significant differences between online dialogue and API call return results. Result missing occurs even when
stream=falseanddetail=trueare set for the API. Cause: Associated parameters for knowledge base retrieval are not configured synchronously in the API request, causing the API call to not trigger the complete RAG process. - Phenomenon: After migrating a knowledge base, the full content can be viewed on the knowledge base page, but the model prompts that the knowledge base is empty during dialogue. Cause: The vector index cache of the knowledge base was not updated synchronously during migration, or the knowledge base parsing and vectorization operations were not re-triggered.
- Phenomenon: In the open-source version
v4.9.14, request queuing or timeout occurs when initiating multiple solid waste financial report analysis dialogues simultaneously. Cause: The dialogue concurrency limit parameter was not adjusted. The default configuration cannot support structured data query requirements with multiple concurrent requests.
How to Verify Successful Configuration
- Initiate a multi-turn dialogue, query solid waste treatment data for different cycles in sequence, confirm that the context is correctly retained, and no duplicate or truncated key information appears.
- Initiate the same query using both the API and online testing tools, compare the consistency of return results, confirm that parameter configurations take effect synchronously.
- Manually trigger the knowledge base re-parsing and vectorization operations, initiate a query after completion, confirm that the model can correctly call knowledge base content.
- Check the workflow node logs, confirm that the AI reply content annotation node is triggered after the reply is completed, with no premature execution.
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.