What Data Looks Like for This Category
Data related to securities research primarily comes from exchange public disclosure documents, brokerage research reports, market data APIs, and periodic reports of listed companies. Market data updates in real time during trading hours. Announcement data syncs immediately after disclosure. Research reports update on workdays. A single document includes modules such as core viewpoints, holding target details, and valuation metrics. Fields include target code, latest trading price, valuation multiple, and holding ratio. Units include yuan, multiples, and percentages.
What Constraints Do These Characteristics Impose on the Retrieval and Recall Workflow
Real-time updates for market data require the retrieval pipeline to support incremental sync mechanisms. This prevents recalling outdated market information. Multi-source heterogeneous document structures require unified field mapping during the preprocessing stage. This prevents retrieval bias caused by field mismatches. Long-form research report documents require retaining the binding relationship between core viewpoints and targets during segmentation. This avoids breaking complete argumentation logic. The correspondence between target codes and names requires precise matching during retrieval. This prevents confusion between related content of different targets in the same industry. Immediate release of announcement data requires the retrieval queue to support low-latency processing. This ensures the latest announcements are quickly added to the retrievable scope.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_count | Top 10-15 results | Securities research documents come from multiple dispersed sources. This range covers multiple research reports, announcements, and market data to avoid missing key related information |
similarity_threshold | 0.75-0.85 | Securities data has strong professionality, with tight terminology and logical connections. A higher threshold filters irrelevant content and ensures retrieval precision |
segment_length | 800-1200 characters | Research report documents include long logical chains. This segment length retains the binding relationship between core viewpoints and targets, avoiding broken argumentation |
incremental_sync_interval | 60 seconds | Market data requires real-time updates. This interval balances sync cost and timeliness, adapting to the immediacy needs of research scenarios |
rerank_return_count | Top 5 results | Investment research decisions require quick access to core information. A smaller return count reduces the risk of information overload and improves retrieval efficiency |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single research reports or periodic reports have long length. This timeout ensures complete parsing of long documents and avoids parsing failures |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: A complete document with 4 steps is stored in the knowledge base, but the AI response only retains the first two pieces of content, with subsequent steps missing. Cause: The binding context between steps was not retained during document segmentation, or the recall count was set too low, so subsequent segments were not included in the retrieval results.
- Phenomenon: After using a project README as the knowledge base, an error prompt is returned during conversation, or no matching content is returned. Cause: Document parsing parameters were not configured correctly, or Markdown code blocks and heading levels in the README were not properly identified by the system.
- Phenomenon: Retrieval results return only text content, without including citation sources from the knowledge base documents. Cause: Metadata recording configuration for retrieval results was not enabled, or the "Display citation sources" interface switch was not enabled when publishing the knowledge base.
How to Confirm Proper Configuration
- Upload a single research report document, check the parsed segment structure, and confirm that core logic is not improperly split.
- Initiate a query that includes a specific target code, verify that the returned results include relevant content for the corresponding target.
- Initiate a general query that does not appear in the knowledge base, confirm that a preset no-match response is returned.
- View the response content in the conversation interface, confirm that each result includes corresponding document source information.
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.