What the data for this category looks like
Data sources for advertising and marketing financing daily reports include public corporate financing disclosure information, advertising sector financing data from industry monitoring platforms, and delivery payment-related data from partners. Updates occur on a daily basis. Each daily report document includes fields such as company name, financing round, financing amount, advertising and marketing sub-sector, investor, and disclosure date. Amount units include ten thousand yuan and hundred million yuan. Date format follows YYYY-MM-DD. Typical single record length is under 200 characters. Conventional file size for bulk daily reports ranges between 1 and 5 MB.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The daily update requirement means each call in multi-turn dialogue must pull the latest same-day data; long-term caching cannot be relied upon. Fields include differences in sub-sectors and amount units, so prompts must clearly define extraction rules to avoid confusion between financing information across different sectors. Bulk data has a large volume and moderate single record length, so context redundancy must be limited in multi-turn dialogue while ensuring the user's query scope is accurately tracked.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
systemPrompt | Clearly specify extracting the company name, financing amount, financing round, and disclosure date fields for advertising and marketing sector financing daily reports, unify the amount unit to ten thousand yuan, and only return same-day disclosure data | Adapts to the fixed fields and unit requirements of advertising and marketing financing daily reports, avoids field confusion or non-same-day data in multi-turn dialogue |
maxContext | 8000-12000 characters | Covers the user's query scope, historical context, and field information of bulk data in multi-turn dialogue, avoids context truncation |
recallTopK | Top 10 entries | Matches the conventional need to view the latest same-day financing updates, avoids excessive redundant data occupying dialogue resources |
chunkSize | 500-800 characters | Adapts to the field length of single financing records, avoids field loss caused by segment truncation |
maxConversationRounds | 15 rounds | Controls context redundancy in multi-turn dialogue, automatically resets or prompts users to focus on the current query after 15 rounds |
fileParseTimeout | 60 seconds | Adapts to the conventional parsing duration of a single advertising and marketing financing daily report file, avoids file parsing failure due to timeout |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: When calling a locally deployed model during debug preview, the model displayed on the interface changes to a GPT series model, and normal dialogue initiation fails. Cause: The API address and key of the local model were not correctly bound in FastGPT's model configuration, causing the platform to fall back to the built-in model by default.
- Phenomenon: After uploading an advertising and marketing financing daily report JSON file, some fields in the dialogue are empty or the data is incomplete. Cause: The
chunkSizesetting was not adjusted to match the field length of the JSON file, causing some segments to be truncated and key information lost. - Phenomenon: In multi-turn dialogue, after switching query sub-sectors multiple times or associating multiple knowledge bases, the returned results mix financing information from non-same-day disclosure. Cause: The
systemPromptdid not enforce only returning same-day data, and therecallTopKparameter was not adjusted to limit the recall scope, causing redundant data from associated knowledge bases to be recalled.
How to confirm configuration is correct
- Access the model configuration page, check whether the
systemPromptclearly includes requirements for advertising and marketing sub-sectors, same-day data, and unified amount units. Save the configuration and initiate a test dialogue to verify that returned fields align with preset rules. - Upload a standard advertising and marketing financing daily report JSON file, check whether the parsed segment content matches the
chunkSizesetting, with no field truncation or loss. - Initiate more than two rounds of multi-turn dialogue, or associate multiple knowledge bases before initiating a query, check whether the returned results only include same-day disclosure financing information for the advertising and marketing sub-sector.
- Switch to the local model debug mode, confirm that the model name displayed on the interface matches the configured local model, and ensure there is no automatic model switching when initiating a dialogue.
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.