What the data for this category looks like
Coal transportation and sales policy and regulatory basis data primarily comes from official documents issued by the National Energy Administration, provincial coal industry management departments, and internal compliance departments of state-owned coal enterprises. Data updates follow no fixed cycle: national-level policies are released annually or at special work milestones, while internal enterprise systems are revised every quarter to semi-annually. Document structures include unified document numbers, issuing authorities, effective dates, and clause details. Fields cover transportation and sales compliance requirements, transportation route specifications, and price control standards. Units include professional metering identifiers such as tons, yuan per ton, and transportation mileage. Single-document lengths vary widely, ranging from hundreds of characters to thousands of characters.
Constraints on vector models and indexing
The characteristics of coal transportation and sales policy data impose multiple constraints on the vector model and indexing link. The wide variation in single-document length requires chunking strategies adapted to long texts, to avoid splitting complete clauses into meaningless fragments. Documents include metadata such as document numbers and effective dates, so indexing must support precise filtered retrieval by metadata to ensure search results only include valid policy content. The non-fixed update cycle requires the indexing system to support incremental synchronization tasks, avoiding resource consumption from full reindexing. Dense specialized terminology requires vector models adapted to the semantic characteristics of the energy transportation and sales field, to improve retrieval matching accuracy.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapt to the clause length of coal policy documents, avoid semantic breaks |
| Overlap Length | 100–150 characters | Retain contextual association between chunks, avoid splitting key clauses |
| Similarity Threshold | 0.72–0.80 | Calibrated based on actual measurements, filter low-relevance policy clauses |
| Single Search Limit | Top 10 results | Cover the retrieval range of commonly used policy clauses |
| maxToken | 4000 | Match large model context window limits, avoid truncating key compliance content |
| defaultToken | 1500 | Control token consumption per vector, balance retrieval accuracy and indexing storage costs |
Three Common Misconfigurations
- After configuring the vector model, search results are empty, with the prompt "No matching results" displayed in the interface. The cause is failure to adjust the chunking strategy for specialized coal policy terminology, leading to incorrect splitting of key clauses and failure to generate valid vectors.
- Index synchronization times out, with a 504 status code returned in logs. The cause is failure to set a reasonable incremental update trigger interval, with batch synchronization of overly long historical policy documents exceeding system processing limits.
- Search results include expired policy documents. The cause is failure to configure metadata filtering rules, failing to screen valid policy clauses by effective date, leading to retrieval of outdated compliance requirements.
How to Confirm Proper Configuration
- In the index management panel of FastGPT v4.17.0, upload a single typical coal transportation and sales policy document, and check that the chunk preview retains complete clauses without semantic breaks.
- Initiate a query containing a specific policy document number, and confirm that the search results include matching fragments of the corresponding clauses.
- View the index synchronization logs, and confirm that incremental synchronization tasks trigger automatically at the set interval with no failed records.
- Test a query containing expired policy keywords, and confirm that results are filtered by effective date and only return valid policy content.
The values provided are common starting points and should be evaluated 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.