Data Characteristics for This Category
Aviation equipment financial marketing content data originates primarily from financial institution leasing promotional materials, aviation equipment insurance product supporting instructions, and aircraft technical manuals from enterprise R&D departments. Updates trigger when new aircraft financial products launch, insurance terms adjust, or aircraft performance parameters update. No fixed update cycle exists. Document structures include modules such as aircraft model numbers, financial parameters, performance indicators, applicable scenarios, and marketing copy. Fields include aircraft identification numbers, leasing rates, maximum takeoff weight, cruise speed, and some fields have clear unit annotations.
Constraints for Vector Models and Indexing
Aviation equipment financial marketing content links extensive professional technical parameters to financial parameters. General vector models cannot accurately capture domain-specific semantic relationships. An embedding model adapted for both aviation and finance domains is required. Long sections of technical descriptions and financial clauses form a large share of documents. Chunking granularity must balance contextual coherence and vector model input length limits. Critical parameter groups must not be split. Update frequency is low, but single data volume fluctuates widely. Indexes must support incremental construction instead of full reconstruction to reduce update time. Documents include marketing copy, technical parameters, and financial clauses. Indexes must support setting recall weights for different content types. Non-core content interference with professional retrieval results is prevented.
Configuration Settings
| Configuration Item | Recommended Values | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Aviation equipment financial marketing documents contain long technical descriptions and financial parameter groups. This length avoids splitting critical parameter associations while adapting to vector model input length limits |
chunk_overlap | 100–150 characters | Ensures contextual coherence of professional parameters and financial clauses across chunks. Prevents parameter fragment breaks during retrieval |
embedding_model | Domain-fine-tuned bge-large-zh-v1.5 | Adapts to semantic relationships between aviation and financial leasing domain terminology and units. Improves retrieval accuracy for professional content compared to general models |
retrieval_top_k | Top 6–8 results | Balances comprehensiveness of retrieval recall and result relevance. Prevents excessive non-core marketing copy from interfering with retrieval of professional parameters and financial clauses |
similarity_threshold | 0.72–0.78 | Filters low-relevance non-professional content. Retains documents related to aviation equipment finance that have high semantic matching with the retrieval query |
index_type | HNSW index | Balances retrieval speed and recall accuracy. Adapts to scenarios where single update volume of aviation equipment financial documents fluctuates widely |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to perform testing on relevant test samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Professional parameters and financial clauses are missing or broken in retrieval results. Cause:
chunk_sizeis set too small, splitting complete parameter groups into multiple chunks. This prevents vector models from capturing relationships between parameters. - Phenomenon: Knowledge base disk usage exceeds expected levels, including uncleaned expired data. Cause: The
auto_clean_expiredparameter is not configured. Expired aircraft financial marketing documents remain in storage and indexes. - Phenomenon: Index model configuration entry cannot be found in version V4.14.3. Cause: The "Vector Configuration" advanced settings panel on the knowledge base edit page is not expanded. Index model parameters are hidden in a collapsed menu in this version.
How to Verify Proper Configuration
- A complete aircraft financial marketing document must be uploaded. The split chunk preview is reviewed to confirm critical parameter groups are not split.
- A retrieval request including professional parameters and financial clauses is submitted. Recall results are verified to contain complete associated parameter content.
- The storage management panel is accessed. Disk space used by the knowledge base is checked to confirm only current valid document source files, split chunks, and vector data are present.
- In version V4.14.3, the "Vector Configuration" advanced settings panel on the knowledge base edit page is accessed.
index_typeandembedding_modelparameters are confirmed to be set according to configured values.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.