* @brief Convert finish reason to string */

* Create a RAG pipeline with the given configuration. * @param configJson JSON with: embeddingModelPath, llmModelPath, embeddingDimension, topK, si

Destroy the RAG pipeline and release resources.

* Query the RAG pipeline. * @param queryJson JSON with: question, systemPrompt, maxTokens, temperature, topP, topK * @returns JSON with: answer,

Refresh setup card states and start button based on loaded models

* Refresh storage data */