What the data for this category looks like
Data sources for condiment financing daily reports include public corporate financing announcements, corporate dynamic summaries from industry media, and local financial regulatory filing disclosures. Entries are updated within 2 business days after a financing event is publicly disclosed. Single document fields include full enterprise name, condiment subcategory, financing amount, financing round, investor list, financing completion date, main condiment product lines, and others. Financing amount units are ten thousand yuan or hundred million yuan. Condiment subcategories cover common categories such as soy sauce, oyster sauce, seasoning sauces, and more.
Constraints for Multi-turn Dialogue and Prompt Engineering
Condiment subcategories are diverse. Multi-turn dialogue must first guide users to clarify their target subcategory, to avoid matching corporate financing data from unrelated industries. Financing events are updated frequently. The dialogue must return the latest data from the past 7 business days by default. The prompt must include data timeliness verification rules. Single data entries contain multiple fields and involve amount units. The system must unify amount unit expressions during multi-turn interactions to avoid ambiguity. The investor list may include multiple entities. The system must support follow-up questions about a single investor's background based on user needs, without outputting all information at once.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single entries in condiment financing daily reports are moderately sized. Multi-turn dialogue must retain 3-5 turns of interaction context to avoid loss of critical information |
Similarity threshold | 0.75–0.85 | Must filter retrieval results unrelated to condiment financing, while retaining matches for subcategories, to avoid misjudgments |
Chunk size | 1000 characters | Financing daily report entries are scattered. Splitting by single financing event after segmentation improves retrieval accuracy |
maxHistoryTurns | 5 turns | User follow-up questions about financing daily reports usually focus on the past 3 turns. Retaining 5 turns covers most interaction scenarios and reduces redundant computation |
promptTemplate | Retrieve by condiment subcategory + financing round + time range | Guide the model to prioritize matching user-specified subcategories, to avoid confusing financing data from other industries |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Each scenario requires separate analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Multi-turn dialogue fails to identify the user-specified condiment subcategory, returning financing data from unrelated industries. Cause: The system prompt does not preset classification rules for condiment subcategories, so the model cannot accurately match retrieval conditions.
- Phenomenon: When calling a locally deployed LLM, the dialogue interface displays the called model as a GPT series model, and normal reply generation fails. Cause: The default model mapping is not disabled in FastGPT's model configuration, causing third-party calls to force replacement with a preset model.
- Phenomenon: A 400 invalid image error is returned when uploading financing daily report documents. Cause: Image processing parameters for document parsing are not configured correctly, causing category tag images in the document to fail recognition and triggering format verification failure.
How to Verify Correct Configuration
- Enter the FastGPT application debugging interface, run a query for financing daily reports of a specified condiment subcategory, and verify the category matching accuracy of the returned results.
- Enable multi-turn dialogue mode, initiate more than 3 consecutive follow-up questions, and verify that the context is correctly retained and used for subsequent retrieval.
- Check the model configuration page, confirm that the default model replacement option is not enabled, ensuring that the preset local LLM is called.
- Upload a test condiment financing daily report document, and verify that the parsed fields match the preset document structure.
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.