Knowledge Base Retrieval and Recall for Investment Research

What the Data for This Category Looks Like

Investment platform investment research data comes from public listed company announcements, industry association reports, third-party institution research reports, real-time trading quotes, and historical position data. Data update rhythms vary significantly. Trading quotes are pushed in real time. Periodic reports are updated quarterly or annually. Industry research reports are released irregularly alongside industry developments. Documents include structured financial report tables and position details, semi-structured research report sections, and unstructured industry analysis text. Fields include stock ticker, market capitalization, price-to-earnings ratio, earnings per share, and similar metrics. Units include RMB yuan, percentage, valuation multiples, and similar units.

Constraints on Retrieval and Recall

Multi-source heterogeneous data formats require the retrieval system to support parsing logic for structured tables, semi-structured sections, and unstructured text. This prevents some investment research data from being correctly recalled. Differentiated update rhythms require the retrieval pipeline to support incremental sync rules configured by data type. This ensures timeliness matches between real-time quotes and periodic reports. Specific fields and units require associating field semantics with unit rules during retrieval. This avoids matching deviations caused by unit confusion. The high proportion of long documents requires segment length to align with the chapter structure of investment research documents. This prevents key analysis logic from being split or truncated.

Configuration Settings

Configuration Item	Recommended Setting	Rationale
`PARSE_TABLE_ENABLE`	Enabled	Investment research data contains large volumes of structured financial report tables and position details. Enabling this setting extracts cell fields and content for precise matching retrieval
`CHUNK_MAX_SIZE`	800–1200 characters	Investment research documents often include long paragraphs and chapter structures. This range avoids splitting key logic while adapting to context window limits
`RECALL_TOP_K`	Top 8–12 results	Investment research analysis requires associating multi-dimensional data. Too many recalled results increase context pressure, while too few omit critical information
`SIMILARITY_THRESHOLD`	0.75–0.85	Investment research terminology has high semantic precision requirements. This threshold filters low-match irrelevant content while retaining weakly matched relevant documents for niche domains
`UPLOAD_FILE_TIMEOUT_SECONDS`	300 seconds	Single investment research report files have large file sizes. This setting reserves sufficient time for parsing and upload
`EMBEDDING_MODEL`	`text-embedding-ada-002` or an open-source model calibrated via actual testing	This model delivers stable semantic encoding for financial investment research terminology, adapting to retrieval needs for specific domains

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

Scenario: An undefined model must match "^(text error occurs when text-embedding-ada-002 is not selected. Cause: The system only validates the naming format of this model by default, and does not support configuration validation rules for other embedding models.
Scenario: An uploaded XLSX format table fails to recognize cell content, and no corresponding field results appear during retrieval. Cause: The PARSE_TABLE_ENABLE configuration is not enabled, so the structured table parsing function is not activated.
Scenario: Key analysis information is truncated during long document retrieval. Cause: The CHUNK_MAX_SIZE setting is too small, splitting complete investment research chapters and causing semantic breaks.

How to Verify Proper Configuration

Upload a single XLSX format financial report table. Check if the parsed text includes cell fields and numerical values to confirm the PARSE_TABLE_ENABLE configuration is active.
Enter a precise investment research-related query, and verify that the number of returned retrieval results matches the recall count set in RECALL_TOP_K.
Adjust the SIMILARITY_THRESHOLD parameter, then compare changes in the match quality of retrieval results to confirm the threshold configuration meets business requirements.
Upload a single research report document exceeding 1000 characters. Check if the segmented content retains complete chapter logic to confirm the CHUNK_MAX_SIZE configuration is reasonable.

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.