• Would it be possible to add an optional parameter to the build method to control the level of detail included in the resulting SymbolDocEmbedding object, i.e., full details vs. summary view?

• How is the accuracy or correctness of the generated SymbolDocEmbedding object quantified or evaluated? Could there be any metrics or methods that provide insights into the quality of the generated embeddings?

• Is it possible to fine-tune or customize the underlying machine learning models used for generating documentation embeddings? If yes, could you describe how it could be done?

• Apart from IntelliSense and API documentation generation, could you provide other examples of practical applications that might benefit from using SymbolDocEmbeddingBuilder?

• How are versions and compatibility of underlying machine learning models managed in the context of this class?

• Can the encoded SymbolDocEmbedding be easily decoded into a human-readable format? What needs to be done to decode an embedded object?