What the data for this category looks like
Industrial park intelligent due diligence report data mainly comes from park operator filing documents, land use planning approvals, settled enterprises' industrial and commercial annual reports, water and electricity energy consumption ledgers, and rent collection records. Update frequency is monthly or quarterly, as park tenant adjustments and rent changes occur at low rates. Documents are mostly multi-page PDFs or structured tables, containing fields such as location coordinates, land use type, settled enterprise list, annual revenue, property operation and maintenance costs, with units including mu, square meters, ten thousand yuan, person-times, etc.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Due diligence data for industrial parks has numerous fields and includes both structured and unstructured content. Multi-turn dialogue must limit query scope to avoid divergent questions that consume context. Data updates slowly but includes dynamic changing items, so prompt logic must include latest data verification to prevent calling outdated information. Fields such as settled enterprise lists and rent collection records are closely related. Multi-turn dialogue must support associated queries, while prompt logic must clarify association rules between fields to avoid incorrect extraction.
How to set configurations
| Configuration Key | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Industrial park due diligence reports are long documents, requiring sufficient context to support multi-turn associated queries |
Recall count | Top 8 entries | Due diligence data for parks has many fields, prioritize recalling the most relevant core field content to avoid interference from redundant information |
Similarity threshold | 0.75–0.85 | Distinguish between different categories of data such as basic park information and settled enterprise details, ensuring reasonable matching of recalled content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Industrial park due diligence reports are mostly multi-page long documents, requiring sufficient time to complete structured parsing |
Chunk size | 1000–1200 characters | Adapt to the field block length of park data, avoiding destruction of field association logic after splitting |
Rerank result count | Top 5 entries | Focus on core due diligence dimensions, reducing the total amount of information that needs to be filtered during multi-turn dialogue |
The parameter values provided on this page are common recommendations for establishing configuration starting points. 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.
Three common mistakes
- Form input fields configured in the workflow are not displayed on the dialogue interface, resulting in empty interactive content. Form input variables are not bound in the prompt, causing the corresponding fields to not be loaded into the context.
- Uploaded park due diligence report documents are not parsed correctly, with returned fields empty. The
Chunk sizesetting is too small, and splitting destroys the integrity of associated fields such as the park settled enterprise list. - Timeout errors occur during multi-turn dialogue, with status code
504 Gateway Timeout. ThePARSE_FILE_TIMEOUT_SECONDSsetting is lower than the actual required parsing duration, terminating the request before the long document completes parsing.
How to confirm configurations are set correctly
- Upload a standard industrial park due diligence report, check if the parsed fields cover core due diligence dimensions, adjust
Chunk sizeto ensure complete field splitting. - Initiate a query involving multi-dimensional associated queries, confirm that the configured form input fields are displayed on the dialogue interface, and verify the context binding logic.
- Trigger the long document parsing process, monitor parsing duration, adjust
PARSE_FILE_TIMEOUT_SECONDSto cover the actual running duration. - Test associated queries in multi-turn dialogue, confirm that the matching degree of recalled content meets expectations, adjust the similarity threshold to a reasonable range.
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.