What Data for This Category Looks Like
Pulp and papermaking process-related data typically comes from wood pulp and waste paper batch ledgers, DCS/QCS control systems, on-paper machine measurement equipment, laboratory testing systems, and energy and water treatment systems. Daily retained documents include pulp preparation sheets, beating operation records, paper machine operation logs, online quality curves, laboratory quality inspection reports, and sheet break and product change ledgers. Data update frequencies include real-time, per shift, and per roll. Individual records contain fields such as pulp ratio, beating degree, grammage, moisture content, and web width, with corresponding different units of measurement.
Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompt Configuration
Multi-turn dialogue and prompt configuration for pulp and papermaking must adapt to multiple data sources, varied update frequencies, and document characteristics. Real-time data requires the dialogue to quickly associate parameters from the latest batch, and avoid using expired data. Multiple update frequencies mean the dialogue must distinguish between real-time, per-shift, and per-roll document dimensions, and not mix records from different cycles. Long time-series quality data for a single roll of paper occupies significant context space, so document chunking and context truncation must be supported. In multi-document scenarios, the batch or roll number of the target document must be precisely specified to avoid retrieving irrelevant laboratory reports or operation records from other rolls. Multi-turn follow-up questions must be bound to the conversation context, to ensure subsequent questions associate with previously mentioned pulp batches, paper machine parameters, and other information.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the standard length of individual beating records and online quality curves, avoids overly fragmented content per chunk |
| Overlap Length | 100–200 characters | Retains key parameters across chunks (such as batch number, beating degree), prevents critical information from being truncated during chunking |
| Maximum Context Length | 4000–8000 tokens | Adapts to the total content volume of multi-turn dialogue historical follow-up questions and multi-document retrieval, matches the standard context limit of FastGPT v4.17.0 |
| Number of Documents Retrieved Per Request | Top 5 entries | Balances retrieval accuracy and response speed, covers the core documents required for a single round of process Q&A |
| Conversation Context Binding | Enable the chatId parameter | Ensures historical messages for multi-turn dialogue are stored under the same session, avoids cross-session context confusion |
| Prompt Variable Configuration | Pass the variables parameter, specify target batch number and roll number | Precise targeting of specific documents to retrieve, avoids returning irrelevant content |
Three Common Misconfigurations
- Uploading long documents triggers context overflow errors, returns empty results or truncated content. The cause is failure to configure chunk and overlap length parameters, and failure to properly chunk long time-series online quality curves.
- Multi-turn follow-up questions produce off-topic answers, starting from the second question and deviating from previously mentioned pulp batches or paper machine parameters. The cause is failure to enable
chatIdbinding for conversation context, or setting the number of retained conversation history entries too low. - Specifying retrieval of a specific document fails, and retrieval results include irrelevant laboratory reports or operation records from other rolls. The cause is failure to pass target batch number, roll number, and other positioning fields via the prompt or
variablesparameter.
How to Verify Proper Configuration
- Upload a single long online quality curve document, initiate multi-turn follow-up questions, verify that answers associate with the previously mentioned batch number and real-time measurement parameters.
- Upload multiple pulp preparation sheet documents, pass the target wood pulp batch number via the prompt, verify that retrieval results only include content from the corresponding batch's pulp preparation sheets.
- Initiate more than three consecutive rounds of process questions, verify that the
messagesfield contains complete historical conversation content, with no critical parameters truncated. - View conversation logs, confirm that the
chatIdparameter remains consistent across multi-turn dialogue, and no context loss occurs due to session switching.
The values provided are common starting points, and should be evaluated against the reader's own samples.