Process Specification and Technical Standard Q&A for Mold Design and Manufacturing: Vector Models and Indexes

Typical entities are injection molding, stamping, and die-casting mold enterprises, as well as mold centers within manufacturing enterprises. Daily

What This Category of Data Looks Like

Typical entities are injection molding, stamping, and die-casting mold enterprises, as well as mold centers within manufacturing enterprises. Daily documents include mold design task sheets, DFM reports, part drawings, machining process cards, mold trial reports, mold modification notices, and mold histories. Data sources cover customer product models, mold flow or forming simulation results, CAD/CAM files, machining and measurement data, and trial mold samples. Updates occur at project milestones, each mold trial, or each mold modification. Documents contain mixed types including long text, structured parameters, and unstructured defect descriptions.

Constraints on Vector Models and Indexing Workflows

The mixed types of daily documents require chunking strategies that adapt to differences between long and short documents, to avoid splitting process steps. The update rhythm based on projects and frequent mold modifications requires indexes to support incremental updates, to avoid excessive service load from full reindexing. Data sources include long text exported from CAD, requiring adaptation to large-token vector generation. Mold process steps have strong contextual relevance, so vector recall must combine contextual association and keyword matching to ensure recalled content aligns with process logic.

How to Set Configurations

The following configurations are adapted for FastGPT v4.17.0.

Configuration ItemRecommended ValueRationale
Chunk Length800–1200 charactersAdapt to the text density of long documents such as mold design task sheets and DFM reports, to avoid splitting process steps in a single chunk
Overlap Length100–150 charactersCover contextual association for short documents such as mold trial reports and mold modification notices, prevent key information from being truncated during chunking
Similarity Threshold0.75–0.85Match corresponding relationships between precise step descriptions and mold trial defects in mold process specifications, avoid irrelevant recall
Single Search LimitTop 8 entriesAdapt to multi-part assembly accuracy verification requirements for mold design, cover associated process card and part drawing information
maxToken4096 tokenAdapt to the length of process text exported from CAD, ensure complete loading of contextual content recalled in a single batch
defaultToken512 tokenAdapt to short text vector generation for conventional process cards, balance generation efficiency and recall accuracy

Three Common Mistakes

  • Phenomenon: An error is reported when starting the vector service, prompting "index connection failed" with a 503 status code. Cause: The automatic synchronization cycle of the index is not configured according to the incremental update frequency of mold data, causing a connection verification failure due to version inconsistency between the external index database and the local document database.
  • Phenomenon: A large number of irrelevant mold trial report contents appear in recall results, and the number of results is far lower than expected. Cause: A reasonable similarity threshold is not set, low-matching non-process documents are included in the recall range, and filtering is not performed using structured fields of mold data.
  • Phenomenon: Vector index generation times out after importing process files exported from CAD. Cause: The maxToken and defaultToken parameters are not adjusted to adapt to long text, causing single-chunk text to exceed the token limit supported by the model and triggering a timeout error.

How to Confirm Configurations Are Set Correctly

  • Import a typical mold design task sheet, check that chunked vector text fully retains process steps without obvious content truncation.
  • Submit a query about mold trial defect rectification, verify that the number of recall results matches the configured single search limit.
  • View the vector index update log, confirm that associated documents automatically trigger incremental index updates after each mold modification or mold trial.
  • Test the connection to the external index database, confirm that no connection error prompts appear after the service starts.

The values provided are common starting points and should be measured against the reader's own samples.