Model Access and Configuration for Decoration and Renovation Research Report Retrieval

Decoration and renovation research report data primarily comes from industry association public reports, building material supplier product parameter

What the data for this category looks like

Decoration and renovation research report data primarily comes from industry association public reports, building material supplier product parameter documents, internal project review materials from construction and renovation enterprises, and third-party renovation trend survey content. Update cadence varies significantly by content type: building material price data is updated weekly, industry policy data is updated monthly, and project case data is released on an irregular basis. Most documents use a structured mixed format, including modules such as project overview, material selection lists, cost breakdown tables, and construction process descriptions. Fields include material unit prices, construction man-hours, brand models, compliance standard numbers, and some fields include unit identifiers.

What Constraints Do These Characteristics Impose on Model Access and Configuration

Mixed-format data from multiple sources requires models to support multi-format parsing, and demands adaptation to the extraction accuracy of structured fields. Differences in update frequencies require configuring vector database synchronization strategies to distinguish content types. More frequently updated building material data needs a shorter synchronization cycle. Documents with large numbers of numeric fields and units require dedicated model plugins for numeric field extraction and unit alignment, to avoid unit confusion during vector embedding. Project case documents have wide variations in length, so parameters for segment length adapted to long-text embedding must be configured to prevent key information from being truncated.

How to Set Configurations

Configuration ItemRecommended ValueRationale
EMBEDDING_MODELtext-embedding-3-large or bce-embedding-base_v1Adapts to the embedding needs of long texts and structured fields in renovation research reports, supports high-dimensional vector extraction
maxContext8000–12000 charactersAdapts to segment embedding of long documents in renovation research reports, avoids truncating critical cost data and process descriptions
RECALL_TOP_KTop 8–12 resultsRenovation research reports have many structured fields, requiring a sufficient number of recalled candidate documents to cover information from different modules
RERANK_MODELbge-reranker-largeAdapts to re-ranking of Chinese renovation terminology, improves sorting accuracy of structured information
PARSE_FILE_TIMEOUT_SECONDS300 secondsAdapts to the parsing duration of mixed-format documents in renovation research reports, avoids timeout interruptions
UPLOAD_FILE_MAX_SIZE500 MBAdapts to document size limits for files including high-definition drawing attachments in renovation research reports

The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material types, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

  • Symptom: The interface displays the prompt "This token does not have permission to use the model: text-embedding-3-large", and the log returns no available channels. Cause: The secret key is not configured using a custom model access method, or the secret key is not bound to the corresponding model permissions.
  • Symptom: After adding the bce-embedding channel, the interface still prompts that no vector model is available. Cause: The model name configured for the channel does not match the FastGPT built-in model identifier, and the channel status has not been synchronized.
  • Symptom: The re-rank model configuration option cannot be selected, and the interface shows a gray disabled state. Cause: The permission switch for re-rank models has not been enabled in the global configuration, or the re-rank model configuration format in the configuration file is incorrect.

How to Confirm Successful Configuration

  • Upload a test document related to renovation building materials, and check whether parsed structured fields are fully extracted.
  • Run a targeted test query, and verify whether the number of recalled results matches the preset configuration values.
  • Check the model access secret key and permission status, and confirm there are no error prompts.
  • After configuring the re-rank model, run a test query and adjust relevant threshold parameters based on business needs.

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.