Vector Models and Indexing for Precious Metal Financing

What the data for this category looks like

Data sources include domestic precious metal exchanges, international precious metal market public market APIs, and financial institution financing ledgers. The update cadence is full daily synchronization of the previous trading day's data. Each document is in structured format, with fields including product code, product name, daily opening/closing price, financing annualized interest rate, financing scale, position change, settlement unit (yuan/gram, USD/ounce), release date, and more.

What constraints these characteristics impose on vector models and indexing

First, structured multi-field mixed content with numerical and text data using different settlement units requires vector models to support multi-field joint encoding or pre-field normalization, to avoid abnormal vector space distribution caused by unit differences. Second, the fixed daily incremental update feature requires indexes to support scheduled incremental construction and expired data cleanup, to avoid resource consumption from full reindexing. Third, the strong timeliness requirement of daily reports means the release date field must be embedded in index filter conditions to prioritize retrieving valid data from the current day and the past 3 days. Fourth, dynamic numerical fields such as financing interest rates and position changes must be converted to standardized text formats before vector encoding, to ensure accurate semantic association.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`embedding_model`	`bge-large-zh-v1.5`	Supports multi-field joint encoding, adapts to the structured mixed numerical and text fields of precious metal financing daily reports, and encoding accuracy meets the recall requirements for financial data
`chunk_length`	`800–1200 characters`	The total structured content length of a single precious metal financing daily report is approximately in the 1000-character range. Splitting content this way preserves field integrity and avoids semantic fragmentation
`enable_incremental_index`	`enabled`	Precious metal financing daily reports are updated incrementally each day. Incremental indexing avoids resource consumption from full reindexing and matches the update cadence
`vector_search_filters`	`["release_date", "product_code"]`	Recall scenarios typically require precise filtering by release date and product code. Adding these fields to index filter conditions improves recall efficiency
`embedding_normalize`	`enabled`	Daily reports include numerical fields with different settlement units such as yuan/gram and USD/ounce. Normalization unifies vector space distribution and eliminates encoding bias caused by unit differences
`index_refresh_interval`	`86400 seconds`	Matches the daily update cadence of precious metal financing daily reports. Regular index refreshes ensure the timeliness of retrieved data

The parameter values provided on this page are common starting points for configuration. Actual values may be affected by data format, 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

Index tasks remain in the "indexing" state for a long time. Logs show an ETIMEDOUT error, and data for some products is not indexed. Cause: The incremental index switch is not configured. Full indexing times out when processing daily full precious metal data, and no timeout retry mechanism is set.
When using pgvector as the vector database, queries return the no operator matches the given name and argument types error, and no recall results are returned. Cause: A vector model that only supports plain text encoding was selected. A model that supports numerical field encoding was not used, so numerical fields such as financing interest rates and position volume in precious metal daily reports cannot be processed.
After calling the file upload interface, the index completion status cannot be obtained via existing interfaces. The returned file_status field always shows "processing". Cause: Index status callback configuration is not enabled, and the index_finished event is not listened for, so index completion status cannot be obtained synchronously.

How to Confirm the Configuration is Correct

Verify the vector model configuration item. Confirm that the selected model supports structured mixed field encoding, and that field normalization is enabled.
Upload a single test precious metal financing daily report document. Use the system's built-in index status query interface to confirm that the document status changes from "processing" to "completed".
Initiate a recall request with product code and release date filters. Confirm that the recall results include matching daily report content, with no semantic bias related to units or fields.
Check the scheduled task logs. Confirm that the incremental index task triggers according to the preset cycle, with no timeout or connection error records.

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.