Knowledge Base Retrieval and Recall for Cosmetics Investment

What the data for this category looks like

Cosmetics investment research data comes primarily from official brand filing documents, ingredient test reports, industry compliance standard documents, e-commerce product detail pages, and research and development white papers. Updates are triggered by new product launches, ingredient formula adjustments, and changes to regulatory policies. There is no fixed update schedule, but update frequency is high. Most documents include fields such as ingredient lists, filing numbers, efficacy descriptions, allergen labels, and usage scenario instructions. Some documents include ingredient charts and packaging compliance images. Field units are mostly measurement-based units like mg/g, %, and ml. The structure is standardized, but individual documents have a long length.

What constraints these characteristics impose on retrieval and recall

Cosmetics data has strict accuracy requirements. Fields such as ingredient concentrations and compliance labels must be matched exactly. Retrieval must support field-level precise recall. The high-frequency update feature requires the retrieval pipeline to support incremental updates. This prevents old data from interfering with investment research judgments. Attached images in documents contain key ingredient information. Retrieval must support image text extraction to cover all retrieval dimensions. Long documents risk context truncation. The context length for retrieval and recall must be controlled reasonably. This ensures valid information is not lost.

How to set configurations

Configuration Item	Recommended Value	Rationale
`maxContext`	800–1200 characters	Cosmetics documents often have long ingredient descriptions and compliance explanations. Excessive length will truncate valid information
`recall_top_k`	Top 8–12 results	Investment research scenarios require coverage of multiple filing and test reports. This avoids missing key compliance information
`similarity_threshold`	0.75–0.85	Cosmetic ingredients and efficacy descriptions have high similarity. Too low a threshold will introduce irrelevant documents
`PARSE_IMAGE_ENABLE`	Enabled	Cosmetics documents often include ingredient charts and packaging compliance images. Image text extraction supplements retrieval dimensions
`UPLOAD_FILE_MAX_SIZE`	200 MB	Individual brand filing documents may contain multiple pages of test reports and images. This setting adapts to large file uploads
`re_rank_top_n`	Top 3–5 results	Investment research scenarios prioritize high-match core documents. This avoids information overload

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three common errors

When uploading a docx document containing images, an error prompt "Incorrect file format" appears in the interface. The cause is that the PARSE_IMAGE_ENABLE configuration is not enabled, or PARSE_FILE_TIMEOUT_SECONDS is not set to a sufficiently long duration.
Calling an external interface to upload HTML titles and content returns a 400 status code. The cause is failure to pass the required title and content fields according to interface requirements, or the field content format does not meet interface specifications.
The number of results returned by retrieval does not match the configured recall_top_k value. The cause is that similarity_threshold is set too high, filtering out relevant documents that meet investment research requirements.

How to confirm configurations are correctly set

Upload a docx document containing ingredient charts and compliance explanations. Check if the parsed text includes ingredient information from the image to confirm the PARSE_IMAGE_ENABLE configuration is active.
Perform a retrieval for "niacinamide concentration". Verify that the number of returned results matches the configured recall_top_k value to confirm the recall logic is working correctly.
Call the external upload interface, pass test HTML titles and content. Check that the interface returns a 200 status code to confirm the interface call parameters are correct.
Enter the knowledge base file management page, attempt to batch download multiple documents. Confirm that the batch download function can be triggered normally to confirm relevant permission configurations are correct.

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.