What the Data for This Category Looks Like
Data sources include public research reports from securities firm home appliance research teams, financial-grade retail monitoring data from professional home appliance industry consulting institutions, and annual technical white papers from leading brands. Update frequency: Monthly updates for retail monitoring statistics, quarterly releases of in-depth analysis reports for segmented product categories, annual releases of industry trend white papers. Document structure includes five core modules: overall industry overview, segmented category market performance, upstream supply chain dynamics, policy impact, and future outlook. Fields include shipment volume, retail sales, product average price, upstream raw material unit price, channel sales share, with corresponding units: ten thousand units, 100 million yuan, yuan, yuan/unit, statistical value.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
Research reports are updated monthly, quarterly, and annually. Multi-turn dialogue must support filtering recalled results by time dimension to avoid recalling expired data that reduces the accuracy of financial decision-making. Documents contain multi-module professional content. Multi-turn dialogue must retain conversation context, support users to request details of specific modules without repeating preamble information. Fields include multiple types of statistical values with units. Prompt engineering must clearly specify the unit corresponding to each field to prevent the large model from outputting confusing statistical results. Individual research reports are lengthy. The length of recalled document segments per single request must be limited to avoid context overflow that slows dialogue response, to meet efficient query needs in financial scenarios.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | The segmented length of black home appliance research reports is mostly 1000-2000 characters per segment. Multi-turn dialogue needs to retain 3-4 rounds of context to avoid window overflow |
recallTopK | Top 6–8 results | Black home appliance research reports cover multiple segmented categories and modules. Enough documents must be recalled to cover user requirements, while avoiding redundant content that interferes with results |
similarityThreshold | 0.75–0.85 | Research report content is highly professional. Low-related retrieval results must be filtered out, while retaining enough valid information |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Individual black home appliance research reports contain multiple charts and tables, requiring longer parsing time |
SPLIT_CHUNK_SIZE | 1000–1500 characters | The body paragraph lengths of black home appliance research reports are uneven. This segmentation method can fully retain the core information of a single segment |
promptTemplate | Fixed as "This assistant is a black home appliance industry research report consulting assistant. Answers must be based on the provided research report content, and clearly mark the cited research report module. Statistical values must include their corresponding units. When the user does not specify a time range, recall research reports from the last 3 months by default." | Clearly define the assistant's role and output rules, adapting to the professional nature of black home appliance research reports and common user needs in financial scenarios |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: When asking about research report content of different segmented categories in multi-turn dialogue, recalled results still include irrelevant information from previous categories. Cause: No category filtering context parameter was added to the dialogue flow, and the retrieval conditions for the current session were not reset.
- Phenomenon: The first response delay is long when initiating a conversation for the first time, and subsequent conversation speeds return to normal. Cause: The index cache of black home appliance research reports was not preloaded, and the first request triggers index loading and document parsing processes.
- Phenomenon: When asking statistical questions in dialogue, the output results do not carry corresponding units. Cause: The prompt did not clearly require marking the unit corresponding to the field, failing to adapt to the characteristics of multi-unit statistical fields in black home appliance research reports.
How to Confirm Configuration is Complete
- Initiate a first conversation, test the first word response time to confirm whether it meets business expectations. If the delay is too high, adjust
PARSE_FILE_TIMEOUT_SECONDSor configure index cache preheating. - Initiate a multi-turn conversation: first ask about overall market overview, then ask for details of upstream supply chain, confirm that context is retained and there is no need to repeat preamble information.
- Ask a question involving statistical values, confirm that the output results carry corresponding units. If not, adjust the prompt content in
promptTemplate. - Ask questions about different segmented categories, confirm that recalled results only include research report content of the corresponding category. If irrelevant category content appears, adjust
recallTopKor retrieval filtering rules.
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.