Creeprime opened a new pull request, #265:
URL: https://github.com/apache/incubator-hugegraph-ai/pull/265
## Overview
This PR implements independent data directory management when switching
between different embedding models. Each embedding model will store its results
in a separate directory, and during queries, the corresponding model’s
embedding data will be automatically identified and loaded, ensuring that
multiple models can coexist without data overwriting.
## Main Changes
1. **`vector_index` Module Method Adjustments**
- Updated methods such as `from_index_file`, `to_index_file`, and `clean`
to include a `model_name` parameter, enabling model-based independent storage
paths.
- Backward compatibility is maintained: if `model_name` is not provided,
the original behavior remains unchanged.
2. **Index Operation Class Path Concatenation Refactoring**
- In classes like `BuildSemanticIndex`, modified directory concatenation
so that the current `embedding_type` is automatically used to generate
subdirectories without manual specification.
3. **Embedding Class Name Unification**
- Unified the model name field across all embedding classes as
`model_name`, and updated related invocation logic to ensure consistency with
the index module.
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