Knowledge Base Retrieval and Recall for Insurance Financial

What the data for this category looks like

Insurance industry financial report data primarily comes from publicly disclosed annual reports, quarterly reports, and interim announcements issued by insurance companies. The update schedule follows fixed annual, quarterly, and ad-hoc triggers. Each individual document includes multiple modules. These modules include underwriting business segments, investment asset structure, solvency indicators, reserve withdrawal rules, profit and balance sheets. Most fields use domain-specific professional terms. Examples include direct insurance premium revenue, combined ratio, surrender rate, and others. Units are mostly ten thousand yuan or hundred million yuan. Some indicators include time dimension tags. Their meanings can only be clarified when linked to the corresponding reporting period.

What constraints do these characteristics impose on knowledge base retrieval and recall

The fixed update schedule requires the knowledge base to trigger incremental updates on a quarterly and annual basis. Update frequency cannot be adjusted arbitrarily. Otherwise, expired or undisclosed content may appear. The long document and multi-module structure requires retrieval segmentation to balance context integrity and field relevance. Too short a segment will split the binding relationship between underwriting data and solvency indicators. Too long a segment will exceed the context window limit of the large model. The high specialization of professional terms requires the recall link to match domain-specific semantics. Generalized retrieval will introduce irrelevant general financial data, which must be avoided. The existence of time dimension fields requires retrieval to link to the reporting period parameter. This prevents confusion between indicators with the same name across different quarters.

How to set configurations

Configuration Item	Recommended Value	Rationale
`Recall Count`	`Top 10`	Single insurance financial report documents have large content volume. Too many recalled results will exceed the large model's context window and affect answer accuracy
`Similarity Threshold`	`0.75–0.85`	Insurance financial reports contain a large number of professional terms. A higher similarity threshold can filter out irrelevant general financial data and focus on professionally matched results
`Segment Length`	`800–1200 characters`	Insurance financial report paragraphs include multi-field associated information, such as the binding relationship between underwriting data and solvency indicators. Segments that are too long will lose context, while segments that are too short will damage field relevance
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	Single annual financial reports contain dozens of pages, which take a long time to parse. Setting a longer timeout can prevent parsing failures
`Incremental Update Cycle`	`Triggered Quarterly`	Insurance financial reports are disclosed and updated quarterly. Triggering incremental updates quarterly ensures the timeliness of knowledge base data
`Rerank Return Count`	`Top 3`	The most relevant professional financial report fragments must be returned first to avoid excessive redundant content interfering with the large model's answer generation

The parameter values provided on this page are all conventional recommendations used as a starting point 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 mistakes

Passing the knowledge_base_tags parameter when calling the api/v1/chat/completions interface does not trigger specified knowledge base retrieval. The cause is either failing to bind the knowledge base collection corresponding to the tag in the application configuration, or the parameter format not following the interface documentation requirements.
The variable selection panel of the code running node cannot display knowledge base reference options. The cause is either the current application not being associated with the target knowledge base collection, or the collection not enabling application call permissions.
The knowledge base cannot generate valid indexes after uploading financial reports. The cause is either not setting the correct segment length parameter, or not selecting an indexing model adapted for professional documents.

How to confirm configuration is complete

Call the api/core/datas interface to query the collection list. Confirm that the target insurance financial report knowledge base collection has been created, and the tag field includes the corresponding reporting period and business segment information.
Upload a single quarterly financial report sample, view the segmented preview after platform parsing, and confirm that the segment length matches the preset segment length configuration.
Initiate a test query, enter "2024 Q1 insurance company combined ratio", and check that the number of returned results matches the recall count configuration, and the similarity meets the threshold requirements.
View the knowledge base task logs, confirm that the incremental update task has been triggered on time according to the incremental update cycle configuration, and there are no parsing failure 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.