api_chat_handler        API handler: chat with the RAG pipeline
api_clear_all_handler   API handler: clear the entire vector store
api_clear_handler       API handler: clear a vector-store collection
api_ragas_clear_handler
                        API handler: clear RAG evaluation files
api_ragas_handler       API handler: compute RAG evaluation metrics
api_ragas_report_handler
                        API handler: generate a RAG evaluation
                        performance report
chunk_text_sentence     Chunk text into sentences (strict)
clear_qa_log            Clear the QA log on disk
clear_qa_metrics        Clear QA metrics on disk
compute_ragas_metrics   Compute RAGAS metrics
compute_ragas_metrics_llm
                        Compute RAGAS-style metrics (LLM scored)
generate_openai_chat    Generate a chat completion from OpenAI
generate_ragas_report   Generate a RAG evaluation performance report
generate_ragas_report_llm
                        Generate a RAG evaluation report using large
                        language model scoring
get_openai_embeddings   Get embeddings from OpenAI
ingest_documents        Ingest documents into the vector store
load_qa_log             Load a QA log from disk
load_qa_metrics         Load QA metrics from disk
load_rag_config         Load RAG configuration
log_rag_interaction     Append one RAG interaction to the QA log
plot_ragas_means        Plot mean RAG evaluation metrics to a PNG
qa_log_empty            Create an empty QA log tibble
qa_metrics_empty        Create an empty QA metrics tibble
query_rag               Query the RAG pipeline
ragR-package            ragR: Retrieval-Augmented Generation and
                        Evaluation Tools
save_qa_log             Save a QA log to disk
save_qa_metrics         Save QA metrics to disk
summarize_ragas         Summarize RAGAS metrics across QA pairs
vectorstore_clear_all   Delete all collections from the R-native vector
                        store
vectorstore_delete_collection
                        Delete a collection from the R-native vector
                        store
vectorstore_load        Load the R-native vector store
vectorstore_query       Query the R-native vector store for nearest
                        neighbors
vectorstore_upsert      Upsert embeddings into the R-native vector
                        store
