Multi-turn Dialogue and Prompt Engineering for Consumer Construction Materials Investment Research Knowledge Base Construction

Data sources for consumer construction materials include market monitoring reports released by industry associations, periodic financial reports of

What the data for this category looks like

Data sources for consumer construction materials include market monitoring reports released by industry associations, periodic financial reports of listed construction materials enterprises, spot price ledgers from supply chain platforms, policy documents issued by housing and urban-rural development authorities, and survey records from offline dealers. Spot price data is updated daily. Financial reports and industry reports are released quarterly or monthly. Policy documents are updated irregularly per regulatory requirements. Document structures include structured quotation tables with fields such as brand, specification, unit price, semi-structured analysis documents with data charts, and unstructured policy texts. Fields include nominal diameter, compressive strength (MPa), tax-included ex-factory price (yuan/ton), inventory quantity (ton), and others. Units vary by specific product category.

Constraints Imposed on Multi-turn Dialogue and Prompt Engineering

Consumer construction materials data has multiple dimensions and significant unit differences. Multi-turn dialogue needs to continuously track parameters mentioned by users, such as building material specifications, brands and time ranges, to avoid parameter confusion caused by lost context. Differences in update rhythms across data sources require clear distinction between real-time spot data and historical financial report or policy data sources during conversations. A high proportion of long documents means multi-turn retrieval must retain the association between tables and text within documents, to avoid loss of key information after splitting. Diverse field units require prompt engineering to explicitly require unified unit conversion and labeling, to ensure the accuracy of investment research analysis.

Configuration Settings

Configuration ItemRecommended Value RangeRationale
maxContext8000–12000 charactersConsumer construction materials industry reports and financial report documents have long lengths. Multi-turn dialogue needs to retain contextual information such as specifications and brands mentioned in multiple rounds
RECALL_TOP_NTop 6–8 entriesConsumer construction materials have a large number of structured quotation data entries. Too many retrieved entries will exceed the context window, while too few will miss information about key product categories
SIMILARITY_THRESHOLD0.75–0.85Judging the similarity of specifications and models for consumer construction materials requires high precision, to avoid retrieving irrelevant construction materials category data
PARSE_FILE_MAX_SIZE500 MBConsumer construction materials industry reports and supply chain ledger files contain multiple pages of tables and charts. Larger files can be fully imported into the knowledge base
TOOL_CALL_MAX_STEPS3–5 stepsConsumer construction materials investment research conversations often need to call three types of tools in sequence: quotation query, financial report data, and policy documents. Too many steps will lead to lengthy conversations
system_promptPrioritize using structured quotation, financial report and policy data from the consumer construction materials knowledge base when answering. Annotate data sources and update times in responses, and uniformly use units from the source documentsConsumer construction materials have diverse field units. Investment research scenarios require clear requirements for data traceability and unit consistency

The parameter values provided on this page are common starting points for configuration setup. 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

  • Symptom: After configuring MySQL tool calling, initiating a conversation returns a 400 status code with no response body. Cause: Required fields for database connection were not properly filled in the tool configuration, leading to request body format non-compliance.
  • Symptom: Contextual information such as consumer construction materials specifications and brands cannot be retained during multi-turn dialogue. Cause: The maxContext parameter was not adjusted to an appropriate range, leading to truncation of key information from earlier dialogue rounds.
  • Symptom: Retrieved consumer construction materials data has inconsistent units, such as mixed use of yuan per square meter and yuan per ton. Cause: The requirement for unified units was not explicitly stated in the system prompt, or field mapping rules were not configured.

How to Verify Proper Configuration

  • Initiate a multi-turn conversation containing multiple consumer construction materials specifications and brands. Check that contextual information of previously mentioned parameters is retained, and no repeated inquiries occur.
  • Call tools to query consumer construction materials quotation data. Check that returned field names and units match those in the knowledge base documents, and no mixed units appear.
  • Upload a complete consumer construction materials industry report. Check that the parsed document segments retain the associated structure of tables and text, and no content is lost.
  • Test the MySQL tool calling workflow. Check that structured construction materials quotation data can be returned normally, and no 400 status code errors occur.

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.