What the data for this category looks like
Data related to business handling processes for state-owned industrial funds comes primarily from internal business manuals, approval process specifications, state-owned asset supervision compliance documents, investment review meeting minutes, and operation guidelines for each stage. Updates happen on a quarterly basis. Updates trigger when internal processes are adjusted, new regulatory policies take effect, or new fund projects are added. Documents follow structured chapters, with fields including process nodes, processing time limits (unit: working days), required material lists, responsible departments, and compliance basis. Typical single document lengths fall in the several thousand character range.
Constraints imposed by these characteristics on knowledge base retrieval and recall
Structured fields require precise matching of core information such as process nodes and time limits during retrieval, to avoid retrieving irrelevant general compliance clauses. Quarterly update frequency means frequent index rebuilding is unnecessary. Full synchronization runs quarterly. Long documents’ chapter structures require retaining process node integrity during chunking. Cross-node operation guidelines are not split, to ensure logical coherence of retrieval results. Clear unit fields require retrieval results to include accurate time limit information, to support compliant business handling.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Business terminology for state-owned industrial funds is precise. A threshold that is too low introduces irrelevant compliance clauses. A threshold that is too high misses similar process steps. Calibrated based on actual testing. |
limit | Top 8 entries | Core nodes for business handling processes typically do not exceed 5. When associated materials and compliance explanations are added, 8 entries cover complete information without exceeding the context window. |
searchMode | vector_keyword | Process documents have clear step keywords and semantic operation descriptions. Hybrid search balances precise matching and semantic retrieval. |
usingReRank | true | Business process-related documents have similar node names. Reranking filters semantically similar but irrelevant entries, improving result relevance. |
datasetSearchUsingExtensionQuery | true | Business queries often omit terms. Extended queries add keywords such as "state-owned industrial fund" and "business handling", improving retrieval accuracy. |
collectionIds | Specify the exclusive dataset ID for this fund's business processes | Avoid retrieving irrelevant general documents, keeping the retrieval scope focused on this fund's business handling rules. |
Three Common Mistakes
- Phenomenon: Index building gets stuck at the "Generate Vector" step. Logs show "Vector generation timed out". Cause:
collectionIdsis not specified. The retrieval scope includes too many non-business documents, causing vector generation tasks to exceed the default time threshold. - Phenomenon: Response content does not match the process set in the knowledge base, and content outside this fund's business scope appears. Cause: The
similaritythreshold is set too low, retrieving irrelevant general state-owned asset supervision documents, or the retrieval dataset scope is not limited. - Phenomenon: After using a new embedding model to complete indexing, search tests return "Model call failed". Cause: The embedding model configuration is not updated synchronously in the FastGPT v4.17.0 backend, so the corresponding model cannot be called to generate query vectors during retrieval.
How to Confirm Configuration is Correct
- Navigate to the FastGPT dataset management page, check the index status of the corresponding business process collection, confirm full indexing is complete and no error logs are present.
- Initiate a simulated query, input "state-owned industrial fund project declaration process", verify that the number of retrieved entries matches the
limitsetting, and that all content comes from this fund's business documents. - Adjust the
similaritythreshold to 0.7, verify that more relevant entries are retrieved. Adjust the threshold to 0.9, verify that some similar but irrelevant content is filtered. Confirm the threshold meets business requirements. - Enable tool call testing, input process questions that only exist in the knowledge base, confirm that responses directly reference knowledge base content. Input non-existent questions, confirm that preset specified responses are returned.
The values provided are common starting points and should be measured against the reader's own samples.
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.