What Data Looks Like for This Category
Consumer construction materials investment research data primarily comes from industry association public reports, annual reports of listed construction material enterprises, regional supply chain quotation databases, and offline dealer survey records. Update cycles fall into three categories:
- Product ex-factory prices and regional inventory data are updated weekly.
- Industry policy and capacity planning data are updated monthly.
- Annual industry white papers are updated quarterly.
Most documents include structured parameters such as product model, compressive strength, ex-factory unit price, and regional code. Units include yuan/square meter, ton, cubic meter, kilogram, and others. Some documents include cross-regional price comparison tables and engineering application case descriptions.
Constraints for Context and Token Management
The large number of structured parameters and layered update frequencies for consumer construction materials require context and token management to adapt to two core needs. First, structured parameters must maintain associational integrity, to avoid breaking logical relationships between parameters after splitting. Second, frequently updated price data continuously increases the total token count of the knowledge base. Strict control of recall scope is needed to avoid context overload. Additionally, investment research conversations often require linking multiple documents of different dimensions. Token consumption per conversation round is higher than general scenarios. An upper limit for the context window must be planned in advance to cover core associated content.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Consumer construction material documents mostly contain structured specification parameters. An overly long chunk leads to redundant token splitting, while an overly short chunk breaks the associational logic between parameters |
recallTopK | Top 3–5 entries | Price and capacity data for consumer construction materials are scattered across multiple documents. Too many recall entries exceed the context token limit, while too few miss key comparison parameters |
maxContext | 4000–6000 tokens | Investment research conversations often require linking three or more documents covering regional prices, enterprise capacity, and policy documents. Estimating 1000 tokens per document chunk, this range covers core associated content |
maxTokenPerReply | 2000–3000 tokens | User questions often involve multi-dimensional comparison of construction material parameters. This range balances reply completeness and platform token limits |
splitOverlap | 100–200 characters | Specification parameters for consumer construction materials often span multiple document chunks. Overlapping splitting preserves parameter context and avoids information breaks |
ignoreKeywords | product model, regional code | Structured fields for consumer construction materials do not require extra word segmentation, reducing invalid token usage |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Setting
recallTopKto 2000 still results in single-round replies exceeding 3000 tokens. Cause: Failure to distinguish between recall count and token usage per chunk. Single structured documents for consumer construction materials often exceed 1000 tokens per chunk, leading to total usage exceeding the context token limit. - Phenomenon: Cross-round construction material parameter context is not retained across consecutive conversations. Cause: The
maxContextparameter is not configured, or its value is lower than the token amount required for cross-round conversations, causing the system to automatically truncate old context. - Phenomenon: Entered structured product parameters are incorrectly split. Cause: The
ignoreKeywordsfield is not configured to filter product model, regional code, and other fields, leading to token splitting that breaks parameter integrity.
How to Verify Correct Configuration
- Initiate a question that links multiple pieces of consumer construction material data, and check that the number of returned context references matches the
recallTopKconfiguration. - View knowledge base parsing logs to confirm that structured fields are not over-split, in line with the
chunkSizeandsplitOverlapconfiguration logic. - Initiate multiple consecutive rounds of questions, and check that construction material parameters and regional information mentioned in the previous round are retained during the conversation.
- Test token consumption for single-round replies, and confirm that it stays within the
maxTokenPerReplyconfiguration range.
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.