Database and Operations for Professional Services Investment

Data Characteristics of This Category

The data used for professional investment research services comes from public industry research reports, periodic and ad-hoc announcements of listed companies, macroeconomic databases, regulatory policy documents, and third-party industry datasets. Update rhythms vary across data types: public research reports follow institutional release cycles, with updates mostly daily or weekly. Listed company announcements are released in real time. Macroeconomic data is updated monthly or quarterly. Document structures include full text bodies, structured statistical tables, and indicator fields. Fields include industry classification codes, revenue growth rates, target prices, report release dates, and institutional ratings. Target prices are denominated in RMB yuan, and revenue growth rates are measured in percentage units.

Constraints on Database and Operations Workflows

Data mixing structured tables and unstructured text requires databases to support both vector semantic retrieval and structured query capabilities. Large differences in data update frequencies require targeted synchronization strategies. Announcement data with high real-time requirements needs a low-latency incremental synchronization link. Low-frequency macro data can use scheduled batch synchronization to avoid resource waste. Fields have fixed units and strict format requirements. Validation rules must be configured before data is written to prevent dirty data from entering the knowledge base. Individual research report texts are lengthy. Systems must support chunked storage and indexing of large documents to avoid excessive single data size impacting retrieval performance and connection efficiency.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`DB_CONNECTION_TIMEOUT`	`30 seconds`	Investment research data synchronization tasks mostly use short connections; this timeout balances connection wait time and task success rate
`PARSE_CHUNK_SIZE`	`800–1200 characters`	Research report bodies mostly use paragraph structure; this length balances semantic completeness and retrieval accuracy
`RECALL_TOP_K`	`Top 10–15 results`	Investment research retrieval needs to cover multi-dimensional data; this value avoids context overload or missing key information
`DB_SYNC_INTERVAL`	`5 minutes (real-time data sources) / 1 hour (non-real-time data sources)`	Matches update frequencies of different data, balances data timeliness and system resource usage
`VECTOR_DIMENSION`	`1536`	Adapts to output dimensions of general embedding models, meets semantic extraction needs for most investment research texts
`UPLOAD_FILE_MAX_SIZE`	`1000 MB`	Covers batch upload scenarios for single research report collections, prevents upload failures due to oversized files

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material formats, data volumes, and business rules. Specific issues require case-by-case analysis, and testing against internal samples is recommended before finalizing settings.

Three Common Misconfigurations

Calls to the database query plugin return 400 Bad Request, with the prompt message containing a role field with leading spaces. No field preprocessing was performed on structured data returned by the database, causing the role field format to not comply with model call specifications.
Database connection tool calls produce no output, or trigger an ETIMEDOUT timeout error. No reasonable database connection pool size was configured based on the number of investment research data synchronization tasks, and concurrent requests exceed the connection limit leading to blocking.
The number of retrieval results does not match the configured RECALL_TOP_K, with missing or redundant results. No unified retrieval rules were configured for the mixed storage structure of investment research data, leading to inconsistent recall logic for structured and unstructured data.

How to Verify Correct Configuration

View the database connection pool monitoring panel to confirm that current active connections do not exceed the configured maximum connection threshold. The threshold must be calibrated based on daily synchronization task volume and concurrent request volume.
Trigger a batch research report upload task, check the match between the number of chunked stored documents and the configured PARSE_CHUNK_SIZE, and confirm that chunk semantics are not broken.
Run a database synchronization script, check the validation results for structured fields, and confirm there are no dirty data entries with format errors or unit mismatches.
Send a simulated investment research retrieval request, check that the returned tool_calls parameter format complies with model call requirements, with no extra spaces or invalid fields.

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.