Knowledge Base Retrieval and Recall for Condiment Funding Daily Reports

Data for condiment funding daily reports comes from three primary sources: public corporate funding announcements, industry association disclosures

What data for this category looks like

Data for condiment funding daily reports comes from three primary sources: public corporate funding announcements, industry association disclosures, and publicly available information on securities trading platforms. Updates follow an event-triggered schedule. Existing data is updated synchronously when new funding events are added. Each document includes standard fields: full company name, funding round, funding amount, list of co-investors, funding completion date, core condiment product categories, disclosure source, and additional relevant fields. Funding amounts are labeled in ten thousand yuan or hundred million yuan units. Funding dates use standard Gregorian calendar formats. The funding round field uses universally accepted industry terminology.

Constraints on knowledge base retrieval and recall

The event-triggered update mode requires the knowledge base synchronization mechanism to support incremental trigger-based indexing. This avoids resource consumption from full database scans. Structured data with multiple fields requires the retrieval and recall process to support multi-dimensional precise matching. Examples include filtering by condiment product category or funding round. Differences in funding amount units require unified unit parsing rules in configuration. This prevents unit mismatch errors during retrieval. Data timeliness requirements mean recall results must be sorted in reverse chronological order of funding dates. The system must also support limiting recall ranges by time period.

How to set configurations

Configuration ItemRecommended SettingRationale
Recall counttop 10 entriesThe data volume for condiment funding daily reports is relatively manageable. 10 entries cover recent core funding events and avoid overwhelming the large language model with redundant information
Similarity threshold0.75–0.85Keyword matching accuracy requirements are high for structured funding data. This range balances recall coverage and precision
Chunk size800–1200 charactersEach individual funding daily report document contains multiple fields. This chunk length preserves complete field groups and avoids truncating critical data
PARSE_FILE_TIMEOUT_SECONDS60 secondsParsing individual structured documents does not require complex processing. 60 seconds covers standard parsing durations and avoids timeout interruptions
parent_folder_idID of the dedicated directory for condiment funding daily reportsUsed to build a categorized directory structure, grouping documents into the specified subdirectory to avoid confusion with data from other categories
maxContext4000 charactersCombined recalled funding entries must fit within the large language model's context window. This length ensures complete information without exceeding the window limit

The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test with your own samples before finalizing settings.

Three common mistakes

  • Issue: Uploaded or imported funding daily report documents are always created in the root directory. They are not placed in the specified subdirectory. Cause: The parent_folder_id parameter uses an incorrect format, or the directory ID is invalid. The target categorized directory is not properly specified.
  • Issue: Matching funding data appears in the knowledge base backend, but no results are output when calling the large language model. Cause: The maxContext parameter is set too small. Combined recalled documents exceed the large language model's context window. This results in content truncation or failure to deliver the content.
  • Issue: Knowledge base search for individual documents takes more than 10 seconds. Cause: Vector index optimization for documents is not enabled. Or the Recall count setting is too high, leading to scanning of excessive irrelevant data during retrieval.

How to confirm configuration is correct

  • Check the knowledge base directory structure. Confirm all condiment funding daily report documents are grouped into the specified subdirectory. This verifies the directory configuration is active.
  • Run a simulated retrieval check. Confirm the number of returned recall results matches the Recall count setting. All results must be condiment-related funding data.
  • Review parsing logs. Confirm no timeout errors occurred during document parsing. This verifies the parsing timeout configuration is reasonable.
  • Trigger an incremental synchronization. Confirm only newly added funding event documents have their indexes updated. This verifies the synchronization mechanism meets event-triggered requirements.

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.