This pull request significantly enhances the OpenSearch multimodal vector store component by improving hybrid search capabilities, adding a new raw search tool, and strengthening error handling and logging. The changes also address known OpenSearch mapping issues and improve developer experience through clearer documentation and debug messages.

Major enhancements and fixes:

1. New features and API improvements

• Added a raw_search method to allow direct execution of OpenSearch queries, with results cleaned of embedding vectors for readability. This method is now exposed as an output tool, making advanced querying more accessible.
• Extended the component's description to clarify the usage of the new search tools and provide example queries, improving user guidance.

2. Robustness and error handling

• Improved the embedding field mapping logic to check if the field already exists and matches the required dimensions, gracefully skipping updates if so. If a known OpenSearch k-NN plugin issue (NullPointerException) occurs, the component logs a warning and continues, avoiding crashes. [1] [2] [3]

3. Logging and developer experience

• Standardized and clarified debug and info log messages throughout the ingestion and client-building processes, making it easier to trace and debug component behavior. [1] [2] [3] [4] [5] [6]

4. Documentation and maintainability

• Added and updated docstrings and in-line comments to clarify method purposes and document known issues, increasing maintainability and onboarding speed for new developers.

5. Refactoring and code cleanup

• Refactored imports for better readability and maintainability. Removed unused decorators and reorganized input/output definitions. [1] [2]

These changes collectively make the OpenSearch multimodal component more robust, user-friendly, and easier to extend or debug.