What this category of data looks like
Data for coal-fired power integration project declaration materials and file review mainly comes from project approval declaration documents, environmental impact assessment approval documents, unit operation archives, safety supervision files, and similar sources. Data updates follow two phases: full batch updates of all declaration materials during the project declaration period, and monthly small incremental updates for new files during daily operations. Document structure includes fixed-format declaration forms (with project overview, capacity parameters, environmental indicators) and structured files (with approval forms, inspection records, rectification receipts). Metadata fields include project ID, unit capacity (unit MW), approval document number, energy consumption indicators (unit g/kWh), and other standardized metadata.
Constraints on vector models and indexing
Coal-fired power integration declaration materials are mostly long texts. Individual documents may contain thousands of characters of approval clauses. Vector chunking must adapt to preserve semantic integrity of long texts, and avoid splitting critical information. Structured files include standardized fields with units. Vector indexing must retain metadata to support precise matching, and prevent confusion of parameter information across different projects. Update rhythms include both batch and periodic modes. Indexing strategies must support a combination of scheduled full updates and real-time incremental updates to adapt to data changes across different stages. Some cross-regional project files include multilingual notes. Configuration requirements for multilingual embedding must be supported to ensure consistent cross-language retrieval.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the semantic integrity of single segments of coal-fired power integration declaration materials, avoids splitting approval clauses |
| Overlap Length | 100–150 characters | Retains contextual association between adjacent chunks, prevents breaks in approval process information in files |
maxToken | 8192 | Adapts to the context window of mainstream open-source embedding models, covers token limits after long document chunking |
| Similarity Threshold | 0.72–0.80 | Meets the precise matching requirements of coal-fired power file review, filters low-relevance historical project materials |
| Single Search Limit | Top 8 entries | Meets the reasonable quantity requirement for referencing similar project files during declaration material review |
defaultToken | 0 | Unifies the vector embedding baseline for unspecified fields, avoids embedding bias in structured fields |
Three common configuration mistakes
- Phenomenon: After replacing the embedding model, the number of retrieval results for multilingual declaration materials is insufficient, and semantic matching deviation is obvious. Cause: No adjustment of chunking and indexing configurations for cross-language approval notes of coal-fired power projects, and no full re-embedding of existing historical file data.
- Phenomenon: After manually uploading a single declaration material exceeding 5000 characters, the interface shows index generation succeeded, but the document cannot be retrieved during search. Cause: The chunk length configuration is too small, causing long documents to be split into invalid chunks, failing to retain semantic information of core approval clauses.
- Phenomenon: After scheduled index updates, some historical file index entries disappear unexpectedly. Cause: No metadata verification logic configured for incremental indexes, causing old indexes to not be properly overwritten or retained after structured fields such as project ID are modified.
How to confirm configurations are correctly set
- Upload a standard coal-fired power declaration material, check that the chunked text fragments retain complete approval clauses with no semantic breaks.
- After replacing the embedding model, run a full re-embedding task, wait for completion, then search cross-lingual file content to confirm retrieval results meet expectations.
- Manually insert a structured file data entry, check that the index list displays the field metadata of this data with no missing entries.
- Configure a scheduled index update task, wait for one update cycle, then check that historical file index entries are fully retained.
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.