What this category of data looks like
The policy and regulatory basis data for oil and gas exploration and development mainly comes from official regulations issued by the Ministry of Natural Resources and industry authorities, internal compliance documents of state-owned oil and gas enterprises, and industry standards. Data updates are synchronized with policy adjustments, with no fixed cycle. Documents are primarily structured text, including fields such as issuing authority, effective date, applicable exploration and development stages, core clauses, etc. Units use official standard document number formats and Gregorian calendar dates, and the length of individual documents varies widely.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Policy documents for oil and gas exploration and development apply by stage, and the content is rigorous and professional. Multi-turn dialogue must link policy clauses from different exploration stages based on context to avoid retrieving irrelevant content. Policy updates have no fixed cycle, so prompts must clearly specify calling currently effective versions of documents to prevent referencing expired clauses. Policy differences across exploration and development stages are significant, so multi-turn dialogue must record the currently discussed stage via context to ensure precise retrieval scope. Additionally, policy documents are lengthy, and accumulated context from multi-turn dialogue may easily exceed the model window, so the total length of messages must be reasonably controlled to avoid content truncation or abnormal responses.
Configuration settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Basis for This Setting |
|---|---|---|
| Maximum context length | 8000–12000 characters | Adapt to the long text of policy documents and accumulated context from multi-turn dialogue |
| Number of documents retrieved per call | Top 3–5 | High precision requirements for policy documents, avoid interference from excessive irrelevant content |
| Question optimization switch | Enabled | Help users' follow-up questions better align with retrieval keywords for policy documents |
| Session binding parameter | Bind by chatId | Ensure conversation context is not confused across sessions |
| Global variable settings | Bind variables parameter | Used to pass exclusive identifiers for current exploration stages |
| Prompt template | Limit to current oil and gas exploration and development stages | Match the staged application characteristics of policy documents |
Three common misconfigurations
- The symptom is that responses to questions starting from the second turn in multi-turn dialogue are off-topic. The cause is failure to bind the
chatIdparameter, which causes conversation context to be reset. - The symptom is that retrieved policy documents cover full-industry policies, without limiting to only oil and gas exploration and development stages. The cause is failure to clearly specify the application scenario in the prompt.
- The symptom is that dialogue content is truncated or responses time out. The cause is failure to limit the total length of
messages, exceeding the model's context window.
How to confirm proper configuration
- Initiate a first question, such as "What are the licensing requirements for oil and gas exploration?" Then initiate a second follow-up question: "How long is the approval time limit?" Check whether the response links to the licensing-related clauses from the first question.
- Check the session binding parameter setting in the configuration interface, confirm that
chatIdis retained throughout the conversation. - Input a test question, check that retrieved documents only include policy content for oil and gas exploration and development stages, with no irrelevant industry policies.
- Adjust the maximum context length, test the context retention of multi-turn dialogue, confirm that no content truncation occurs.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.