What the data for this category looks like
Minor metal research report data mainly comes from official releases from non-ferrous metal industry associations, special research reports from non-ferrous metal teams at securities firms, and weekly market reports from spot traders. Update cycles cover daily spot quotes, weekly market updates, monthly supply and demand reports, and quarterly industry trend analysis. Document structures include fields such as minor metal product names, spot transaction prices, social inventory, downstream operating rates, policy interpretations, and more. Units are mostly yuan/ton and ten thousand tons. Some segmented categories such as rare earth oxides use yuan/kilogram as the unit.
Constraints on vector models and indexing
The minor metal research report category has many subcategories and mixed data dimensions. The vector model must support semantic encoding for both text descriptions and structured numerical fields. This prevents confusion of features across different categories. The frequent update cycle requires the index to support incremental refresh, reducing resource consumption from full reconstruction. Single research reports include cross-category comparative analysis. Chunking must retain category tag associations to prevent cross-category misalignment in recall results. In addition, spot price fluctuations for some minor metals are sensitive. Retrieval results must prioritize matching the latest daily or weekly data. The index must support sorting by update time weight.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
vector_dim | 1024 | Matches the output vector dimension of the dengcao/Qwen3-Embedding-8B model, and meets the dimension requirements of vector database indexing |
chunk_size | 800–1200 characters | Minor metal research reports include structured tables and long-text analysis. Segments that are too long lose context association. Segments that are too short split the semantics of supply and demand logic. |
index_refresh_interval | 3600 seconds | Adapts to the update frequency of weekly or monthly research reports. Balances data timeliness and resource overhead of index construction. |
rerank_top_n | 3–5 items | Professional decision-making for minor metal research reports requires precise matching of core logic. Too many results increase reading burden. |
embedding_model_url | http://localhost:11434/v1 | Adapts to the embedding model interface path deployed via ollama, and complies with OpenAI-compatible format specifications. |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- The symptom is a failed Milvus deployment due to PostgreSQL-related configurations in the compose file. The cause is using a non-minimal compose template that includes independent database dependencies, without selecting a configuration file adapted for local single-machine deployment.
- The symptom is a connection timeout or 404 error when connecting to a locally deployed embedding model. The cause is incorrect configuration of the model's API path. For example, when using ollama, the
/v1suffix is not added, or network access rules for the corresponding port are not opened. - The symptom is irrelevant content across minor metal categories appearing in retrieval results. The cause is not adding category tags as prefixes during chunking. This prevents the vector encoding from distinguishing research report content from different categories, leading to misaligned recall results.
How to confirm the configuration is correct
- Call the embedding model interface. The returned vector dimension matches the configured
vector_dim. Use a local command line tool to send test requests. - Upload a single minor metal research report. Check the chunked text fragments to confirm the segment length falls within the preset
chunk_sizerange. - Submit a research report retrieval request. Check that the number of returned recall results matches the configured
retrieval_top_k. The sorting logic of the reranked results aligns with business expectations. - Check the vector database monitoring dashboard. Confirm that the index refresh frequency matches the configured
index_refresh_interval. There should be no abnormal storage occupancy fluctuations.
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.