What this category of data looks like
Service consultation data for state-owned industrial funds comes primarily from internal archived records, investment decision meeting minutes, industrial support policy documents, project due diligence reports, investor correspondence, and similar sources. Data updates occur on an irregular schedule, triggered by new fund filings, new investment projects, or policy revisions. Document structures include both standardized fields and unstructured content. Standardized fields include fund name, filing number, establishment date, investment scale (unit: ten thousand yuan), investment field, and other similar items. Unstructured content mostly consists of thousands-word due diligence reports and process description documents.
Constraints on vector models and indexing
Scattered sources of industrial fund data require indexes to support encoding of mixed-type content. Standardized fields and unstructured text must adapt to different vector encoding logic. The irregular but large-volume single-update feature requires indexes to support flexible configuration for batch upload and incremental updates. The document structure that coexists with long-text due diligence reports and short fields requires balancing chunk length and context integrity. Avoid splitting chunks too finely to lose professional term associations, or splitting chunks too long to exceed model input limits. Most service consultations focus on approval processes, capital requirements, and project scope. Indexes must prioritize retrieving highly relevant policy and process documents.
Configuration settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
| Chunk length | 800–1200 characters | Adapts to the single-paragraph information density of industrial fund due diligence reports and policy documents, avoids losing context associations due to overly fine chunking |
| Overlap length | 100–150 characters | Connects process descriptions and term associations between adjacent chunks, covers cross-chunk logical chains |
| Similarity threshold | 0.72–0.78, calibrated via actual testing | Matches the semantic similarity distribution of industrial fund professional documents, balances retrieval precision and coverage |
| Single search limit | Top 8 results | Balances response speed and information completeness for service consultations, covers relevant scenarios of common inquiries |
| maxToken | 4096 | Adapts to context splicing after long document chunking, complies with the input length limits of general large models |
| defaultToken | 2048 | Used for vector encoding of short fields such as filing numbers and fund contributors, optimizes retrieval efficiency for lightweight queries |
Three common misconfigurations
- Phenomenon: Index tasks throw an error stating "chunk content exceeds length limit". Cause: The chunk length parameters were not adjusted for industrial fund long-text due diligence reports, and generic short chunk configurations were used instead.
- Phenomenon: When using ollama as the vector model, search result matching accuracy is low. Cause: The similarity threshold was not adjusted for industrial fund professional terminology, leading to insufficient semantic adaptation of the generic model.
- Phenomenon: No matching results are returned when initiating structured field queries (such as entering a fund filing number). Cause: Separate vector encoding parameters were not configured for standardized fields, resulting in structured information failing to be retrieved effectively.
How to verify correct configuration
- Upload a single industrial fund due diligence report, check the chunk preview interface, and confirm that chunk length falls within the preset range and adjacent chunks have overlapping content.
- Submit a consultation about fund filing procedures, check the number of returned search results, and confirm it does not exceed the set single search limit.
- Check the index task logs in FastGPT v4.17.0, and confirm there are no error prompts about overly long chunks or token limit exceeded.
- Test structured field queries by entering the filing number of a specific fund, and confirm that the complete information of the corresponding document is retrieved.
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.