What the data for this category looks like
The data for special steel marketing content primarily comes from production ledgers, third-party quality inspection reports, customer acquisition case documents, and supporting financial service plans. Production-related data is updated daily. Marketing materials are adjusted as needed. Supporting financial plans are updated quarterly. Most documents include fields such as material grades, mechanical performance indicators, application scenarios, and quotation cycles. Units include MPa, mm, yuan/ton, BP, and others. The length of individual documents varies widely, ranging from hundreds of words of product introductions to thousands of words of complete quality inspection reports.
Constraints on knowledge base retrieval and recall
The multi-field professional attributes, differentiated update rhythms, and varied document lengths of special steel data create multiple constraints for the retrieval and recall process. Precise matching of professional fields requires retrieval models to prioritize identifying core identifiers such as material grades and performance parameters. Differences in update frequencies require a synchronization strategy combining incremental and full updates to prevent old data from being included. The presence of long documents requires reasonable chunking parameters to avoid breaking the integrity of professional terminology. Fields with multiple units require unit normalization in advance to prevent recall failures caused by unit mismatches.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Special steel documents contain long paragraphs of mechanical performance parameters. Chunk length is set to preserve the integrity of professional terminology and avoid semantic damage from improper splitting |
recall_top_k | 8–12 results | Covers parameter requirements across multiple scenarios in special steel marketing, ensuring recall results include sufficient professional information and application cases |
similarity_threshold | 0.75–0.85 | Improves matching accuracy for professional terminology, filters irrelevant general marketing content, and focuses on special steel-specific information |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodates batch uploads of large quality inspection reports and complete product manuals, preventing parsing failures due to oversized files |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Reserves sufficient time for complex format parsing of long documents, preventing mid-process timeout interruptions |
rerank_top_n | 3–5 results | Focuses on core professional information, avoiding excessive redundant content that impacts the display effect of marketing content |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material forms, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test against your own samples before finalizing settings.
Three common configuration errors
- Phenomenon: Retrieval returns results with format errors that cannot be recognized as valid JSON. Cause: The
response_formatparameter is not configured to the preset structure, or model context overflow occurs during long document parsing, leading to format exceptions. - Phenomenon: Calling the retrieval API returns an empty JSON result. Cause: The
collection_idparameter of the target knowledge base is not specified, or the similarity threshold is set too high, resulting in no matching content. - Phenomenon: A 400 status code is returned when adding or deleting data from a knowledge base collection via the API. Cause: Correct collection identification parameters are not included, or the field format of uploaded data does not meet preset requirements.
How to verify correct configuration
- Upload a standard special steel quality inspection report, and verify that the parsed chunks retain complete mechanical performance parameter paragraphs.
- Initiate a retrieval request for a specific material grade, and check that the recall results include content corresponding to the relevant professional fields.
- Call the data addition and deletion API, pass a test
collection_idand compliant data, and confirm that the returned status code is 200. - View retrieval logs, and confirm that the returned result format matches the preset JSON 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.