What the data for this category looks like
Data sources for optical and optoelectronics investment research include public reports from optical and optoelectronics industry associations, quarterly operating briefings from listed companies, capacity announcements from upstream wafer and optical lens suppliers, and new product parameter documents from terminal brands. Update cycles cover daily (raw material spot quotes), quarterly (industry capacity data), and annual (patent authorization statistics). Documents include structured time-series data tables, unstructured research review text, and detailed parameter lists. Fields include panel effective size, lens focal length, and display panel refresh rate, with units of inches, millimeters, and hertz respectively.
What constraints these characteristics impose on the context and token link
Daily updated raw material quote files have small size but frequent updates, which increase token consumption for context synchronization. Quarterly industry report structured tables contain multiple detailed columns, making the token count of a single file likely to exceed model limits. Terminal new product parameter lists have multiple field dimensions, leading to large fluctuations in the context length spliced after recall. Long text paragraphs from patent documents easily trigger token overflow. Additionally, format differences across multiple data sources mean preprocessed context splicing logic must adapt to the token proportion of different fields. Structured data with high-dimensional parameters occupies more token quotas, reducing the number of valid contents retrieved in a single round.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Aligns with the average token proportion of single optical and optoelectronics research reports, avoiding overflow during single-round recall |
UPLOAD_FILE_MAX_SIZE | 50 MB | Covers the typical size of quarterly industry reports and patent documents, preventing 400 errors |
chunkSize | 1000–1500 characters | Matches the single field group length of optical and optoelectronics parameter lists, reducing token consumption per chunk |
recallTopK | 3–5 | Limits the total token count of recalled content, adapting to the maxContext quota |
maxTokenPerPrompt | 16000 | Matches the context window limit of mainstream large models, avoiding request errors |
PARSE_CHUNK_OVERLAP | 100 characters | Retains contextual association between adjacent chunks, preventing logical breaks after parameter splitting |
The parameter values provided on this page are common recommendations for starting point configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: A 400 error is returned when uploading optical and optoelectronics industry reports larger than 50 MB. Cause: The
UPLOAD_FILE_MAX_SIZEconfiguration is not adjusted, exceeding the platform's default upload limit. - Phenomenon: A model error is triggered after splicing recalled research report content, with a prompt indicating token overflow beyond context limits. Cause: No linked constraints for
maxContextandrecallTopKare set, leading to total token overflow from too many recalled entries. - Phenomenon: Field logical breaks appear in split parameter documents, making it impossible to associate corresponding parameter values. Cause:
PARSE_CHUNK_OVERLAPis not configured, and no contextual association between adjacent fields is retained during segmentation.
How to confirm correct configuration
- Upload the largest single optical and optoelectronics industry report, verify that the upload completes without errors, and check that the
UPLOAD_FILE_MAX_SIZEconfiguration covers the file size. - Initiate one round of investment research query, review the context splicing range of the returned results, and confirm that the total token count does not exceed the
maxContextsetting. - Check the split document fragments, confirm that adjacent fragments have overlapping fields, and verify that the
PARSE_CHUNK_OVERLAPconfiguration takes effect. - Test the total length after recalling multi-source data, adjust
recallTopKto match themaxContextquota.
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.