What the data for this category looks like
Core data for cultural and entertainment products comes from brand product manuals, marketing promotional materials, and SKU management ledgers. Data updates align with new product launches and themed marketing campaign timelines. There is no fixed update cycle, but concentrated updates occur before new product launches and themed marketing nodes. The document structure includes two types of content: one is structured product parameters, the other is unstructured marketing copy, activity rules, and after-sales instructions. Fields include SKU code, material name, selling price, inventory quantity, applicable scenario keywords, etc. Some fields have clear units.
What constraints these characteristics impose on the knowledge base retrieval and recall link
Dispersed multi-source data requires the retrieval system to support unified parsing across document formats, to avoid information loss caused by differences in material formats. The high-frequency update feature requires configuring a scheduled incremental synchronization mechanism to ensure that knowledge base content remains consistent with the latest marketing activities and new product information. The mixed structure of structured and unstructured documents requires the retrieval link to balance semantic matching and precise field matching. For example, for a query such as "XX doll selling price", the selling price field of the corresponding SKU must be directly recalled, instead of using generalized marketing copy. Fields with clear units require the retrieval logic to associate the corresponding units, to avoid invalid recall caused by unit confusion. For example, distinguishing between queries for selling price and inventory quantity.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_MAX_SIZE | 20 MB | Marketing materials for cultural and entertainment products are mostly graphic descriptions and short copy documents, with small individual file sizes. 20 MB covers most scenarios |
chunk_size | 800–1000 characters | Product parameters and marketing copy for cultural and entertainment products have moderate lengths. This segment length preserves complete semantic units and avoids excessive splitting that disrupts context |
recall_top_k | Top 6–8 results | Marketing content needs to balance relevance and scenario diversity. This number of recalled results covers users' multi-scenario needs and avoids repeated coverage of single-scenario copy |
similarity_threshold | 0.72–0.78 | There are many similar query scenarios for cultural and entertainment products, such as cleaning methods for different doll models. This threshold balances the risks of precise recall and missed recall |
enable_field_retrieval | Enabled | The knowledge base for cultural and entertainment products includes structured fields such as SKU code, selling price, and inventory. Enabling this function supports precise field matching and improves query efficiency |
PARSE_FILE_TIMEOUT_SECONDS | 90 seconds | When parsing marketing materials in batches, this duration covers the parsing process for most unstructured documents and avoids task failure caused by parsing timeouts |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: Retrieval results do not return uploaded knowledge base content, and generated content deviates from preset knowledge base information. Cause: The
similarity_thresholdis set too high, resulting in zero qualifying recalled entries. The system calls general generation logic instead of knowledge base retrieval. - Symptom: Uploaded marketing posters and live broadcast scripts cannot be parsed correctly, with a large amount of garbled code or missing content after parsing. Cause: Parsing rules for the corresponding file type are not configured, or the uploaded file exceeds the
PARSE_FILE_MAX_SIZElimit. - Symptom: The knowledge base retrieval node in the workflow returns an empty array. Cause:
recall_top_kis set to 0, there are no documents in the knowledge base that match the similarity threshold, or structured fields have not completed index configuration.
How to confirm the configuration is complete
- Upload 1 to 2 typical cultural and entertainment product marketing documents, check if the parsed segment lengths meet expectations, and confirm there is no excessive truncation or redundant fragments.
- Enter a query containing product parameters, verify that the retrieval results include content from the corresponding structured fields, and confirm that the field retrieval function is active.
- Adjust the matching strictness of the query, observe changes in the number of recalled results, and verify the rationality of the similarity threshold setting.
- Upload multiple marketing materials in batches, check the completion status of parsing tasks, and confirm that no timeout errors are triggered.
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.