What This Category of Data Looks Like
The data for business process guidance for state-owned capital investment companies is primarily sourced from internal compliance documents, process rules for each business segment, and approval ledgers required by state-owned assets supervision regulations. Data update cycles align with adjustments to state-owned assets policies or business process optimizations. A single update covers fields across all business lines, including process nodes, responsible entities, approval time limits, and submission material lists. Most documents are structured form templates and process description texts. Some include cross-department collaboration node association information. Most fields have clear units, such as workdays, copies, ten thousand yuan, and similar units.
What Constraints Do These Characteristics Impose on the Vector Models and Indexes Link
The presence of structured fields and cross-department association information requires index configurations to support vector training differentiated by field dimensions. This avoids noise interference from non-business fields. Process description texts often contain continuous node logic. Chunking must preserve node integrity, and excessive splitting is avoided. Update cycles fluctuate with policy adjustments. Incremental index trigger rules must be adapted to avoid resource waste from full index runs. Fields have clear attached units. Vector models must retain unit information to ensure semantic matching accuracy during retrieval.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1000 characters | Matches the single-node text length of state-owned capital investment company business process descriptions, avoids splitting process logic |
| Overlap Length | 100–200 characters | Retains cross-chunk department collaboration node association information, prevents logical breaks |
| Maximum Paragraph Depth | 3 | Adapts to the hierarchical structure of structured documents, aligns with business process document formatting habits |
| Maximum Context Token Count | 8000 | Covers the total token volume of long process documents, ensures complete loading of process information |
| Default Retrieval Token Limit | 4096 | Serves as the default retrieval context token limit, balances retrieval accuracy and resource consumption |
| Single Recall Count | Top 5 entries | Matches the number of core nodes in business processes, avoids redundant information interfering with retrieval |
| Index Vector Dimension | 128 | Meets the index accuracy requirements of the business scenario, adapts to the configuration standards of existing retrieval links |
Three Common Misconfigurations
- Phenomenon: Clicking the test button for a custom vector model directly returns an error. The interface displays connection failure or invalid secret key. Cause: The request path and authentication parameters of the internal vector service of the state-owned capital investment company are not correctly matched. The general model address is mistakenly entered into the custom request address.
- Phenomenon: The knowledge base is configured, and the Agent conversation test runs normally. After refreshing the page, a prompt appears stating "No available index model detected". Cause: The vector model configuration is not synchronized to the index settings of the knowledge base, or the system cache has not been refreshed in time, resulting in the configuration not taking effect.
- Phenomenon: After uploading a table-form business process document, retrieval does not return the process node information in the table. Cause: The multi-vector support configuration for table data is not enabled, and vector indexes are not generated separately for each column of the table.
How to Confirm Proper Configuration
- The vector model settings page of the knowledge base is accessed, and the selected model and configuration items are confirmed to match the preset parameters.
- A structured business process document is uploaded, manual indexing is performed, and whether the indexing progress completes normally is checked.
- A retrieval related to a business process is initiated, and whether the returned results include the node information of the corresponding process is checked.
- System logs are checked to confirm that there are no error records of failed vector index generation.
The values provided are common starting points and should be measured against samples from the relevant deployment.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.