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ruvector-extensions

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Advanced features for ruvector: embeddings, UI, exports, temporal tracking, and persistence

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/** * @fileoverview Comprehensive examples for the embeddings integration module * * This file demonstrates all features of the ruvector-extensions embeddings module: * - Multiple embedding providers (OpenAI, Cohere, Anthropic, HuggingFace) * - Batch processing * - Error handling and retry logic * - Integration with VectorDB * - Search functionality * * @author ruv.io Team <info@ruv.io> * @license MIT */ declare function example1_OpenAIBasic(): Promise<void>; declare function example2_OpenAICustomDimensions(): Promise<void>; declare function example3_CohereSearchTypes(): Promise<void>; declare function example4_AnthropicVoyage(): Promise<void>; declare function example5_HuggingFaceLocal(): Promise<void>; declare function example6_BatchProcessing(): Promise<void>; declare function example7_ErrorHandling(): Promise<void>; declare function example8_VectorDBInsert(): Promise<void>; declare function example9_VectorDBSearch(): Promise<void>; declare function example10_CompareProviders(): Promise<void>; declare function example11_ProgressiveLoading(): Promise<void>; export { example1_OpenAIBasic, example2_OpenAICustomDimensions, example3_CohereSearchTypes, example4_AnthropicVoyage, example5_HuggingFaceLocal, example6_BatchProcessing, example7_ErrorHandling, example8_VectorDBInsert, example9_VectorDBSearch, example10_CompareProviders, example11_ProgressiveLoading, }; //# sourceMappingURL=embeddings-example.d.ts.map