What the data for this category looks like
Data sources for dairy product marketing content include internal brand product specification documents, marketing campaign execution manuals, in-store sales associate training materials, official press releases for new product launches, and raw material testing reports from the supply chain. Update cycles fluctuate with new product launches and quarterly promotional campaigns. Regular product parameter documents have longer update intervals. Document structures cover single-page sales pitch scripts, dozens of full-page end-to-end marketing plans. Some documents include tables for nutritional component comparisons and sales pitch templates for different sales channels. Fields include product name, applicable scenarios, core selling points, and compliance prompts. Some documents include exclusive in-store store numbers and campaign execution timestamps.
What constraints these characteristics impose on knowledge base retrieval and recall
Dispersed multi-source data requires the retrieval system to support file indexing across folders and formats, to avoid missing in-store sales pitch documents submitted by distributors. Uneven update cycles require support for incremental synchronization, to ensure new product marketing content can be retrieved quickly. Mixed short and long document structures require flexible segmentation strategies, to avoid truncating long plans and losing core selling points, or over-splitting short sales pitches. Fields containing compliance prompts require associative filtering during retrieval, to ensure recalled content complies with food advertising regulatory requirements.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Dairy product marketing documents include short sales pitches and long full plans. This range balances context completeness and retrieval accuracy |
retrieve_top_k | Top 8–12 entries | Marketing content needs to cover multiple dimensions including product selling points, campaign rules and compliance prompts. This quantity avoids context overload |
similarity_threshold | 0.72–0.8 | Dairy product marketing content has high keyword overlap. This threshold filters low-relevance redundant results |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Some long marketing plan documents have large file sizes, requiring sufficient parsing time |
enable_incremental_sync | Enabled | Dairy product marketing content has uneven update frequencies. Incremental synchronization reduces system resource consumption |
filter_metadata_fields | compliance prompts, applicable stores | Recalled marketing content needs to be filtered by compliance requirements and store attributes |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three common configuration mistakes
- Phenomenon: An error is triggered after deploying a local model and adding a dairy product marketing knowledge base, with logs displaying
413 Request Entity Too Large. Cause: TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted, and the size of some long full marketing plan documents exceeds the default limit. - Phenomenon: Sales assistant pitches account for an overly high proportion of retrieval results, and compliance prompt content is not recalled preferentially. Cause: The
filter_metadata_fieldsconfiguration was not set to filter non-target content, or thesimilarity_thresholdwas not set to filter low-relevance redundant results. - Phenomenon: Dairy product promotional images imported into the knowledge base cannot be retrieved, and returned results only contain text content. Cause: Image OCR parsing configuration was not enabled, and text features such as product selling points and campaign information in the images were not extracted.
How to confirm the configuration is properly set
- Upload a single long full marketing plan document, check the parsing progress and segmentation results to confirm they meet expected length requirements.
- Enter a search term containing compliance prompts, verify that documents with compliance fields are returned preferentially in recall results.
- Import promotional materials containing product images, check that parsing results include text extracted from the images.
- Submit incrementally updated documents, confirm that the system only synchronizes newly added or modified content, and does not perform a full index rebuild.
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.