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    "edge_classify",
    "edge_clean_cache",
    "edge_completion",
    "edge_cuda_info",
    "edge_download_model",
    "edge_download_url",
    "edge_embeddings",
    "edge_extract",
    "edge_extract_batch",
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    "edge_find_ollama_models",
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    "edge_grammar_completion",
    "edge_index_documents",
    "edge_install_cuda",
    "edge_install_cuda_toolkit",
    "edge_json_grammar",
    "edge_list_models",
    "edge_load_model",
    "edge_load_ollama_model",
    "edge_map",
    "edge_model_n_embd",
    "edge_narrate",
    "edge_quick_setup",
    "edge_reload_cuda",
    "edge_search",
    "edge_serve",
    "edge_set_verbose",
    "edge_simd_info",
    "edge_similarity",
    "edge_similarity_matrix",
    "edge_small_model_config",
    "edge_stream_completion",
    "edge_text_to_sql",
    "edge_verify_narrative",
    "is_valid_model"
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      "page": "build_chat_prompt",
      "title": "Build chat prompt from conversation history",
      "topics": [
        "build_chat_prompt"
      ]
    },
    {
      "page": "edge_ask",
      "title": "Ask a question using retrieval-augmented generation",
      "topics": [
        "edge_ask"
      ]
    },
    {
      "page": "edge_benchmark",
      "title": "Performance benchmarking for model inference",
      "topics": [
        "edge_benchmark"
      ]
    },
    {
      "page": "edge_cache_info",
      "title": "Cache size information",
      "topics": [
        "edge_cache_info"
      ]
    },
    {
      "page": "edge_chat_completion",
      "title": "Generate a chat completion using the model's native template",
      "topics": [
        "edge_chat_completion"
      ]
    },
    {
      "page": "edge_chat_stream",
      "title": "Interactive chat session with streaming responses",
      "topics": [
        "edge_chat_stream"
      ]
    },
    {
      "page": "edge_classify",
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      "topics": [
        "edge_classify"
      ]
    },
    {
      "page": "edge_clean_cache",
      "title": "Clean up cache directory and manage storage",
      "topics": [
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      ]
    },
    {
      "page": "edge_completion",
      "title": "Generate text completion using loaded model",
      "topics": [
        "edge_completion"
      ]
    },
    {
      "page": "edge_cuda_info",
      "title": "Check whether a CUDA backend is installed and active",
      "topics": [
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      ]
    },
    {
      "page": "edge_download_model",
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      "topics": [
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      ]
    },
    {
      "page": "edge_download_url",
      "title": "Download a model from a direct URL",
      "topics": [
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      ]
    },
    {
      "page": "edge_embeddings",
      "title": "Extract text embeddings from a model",
      "topics": [
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      ]
    },
    {
      "page": "edge_extract",
      "title": "Extract structured data from text",
      "topics": [
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      ]
    },
    {
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      "title": "Extract structured data from multiple texts",
      "topics": [
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      ]
    },
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      "page": "edge_find_gguf_models",
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      "topics": [
        "edge_find_gguf_models"
      ]
    },
    {
      "page": "edge_find_ollama_models",
      "title": "Find and load Ollama models",
      "topics": [
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    },
    {
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      "title": "Free model context and release memory",
      "topics": [
        "edge_free_model"
      ]
    },
    {
      "page": "edge_grammar_completion",
      "title": "Generate text constrained by a GBNF grammar",
      "topics": [
        "edge_grammar_completion"
      ]
    },
    {
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      "title": "Build an embedding index from text documents",
      "topics": [
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      ]
    },
    {
      "page": "edge_install_cuda",
      "title": "Install the CUDA backend for GPU-accelerated inference",
      "topics": [
        "edge_install_cuda"
      ]
    },
    {
      "page": "edge_install_cuda_toolkit",
      "title": "Install CUDA runtime libraries required for GPU inference",
      "topics": [
        "edge_install_cuda_toolkit"
      ]
    },
    {
      "page": "edge_json_grammar",
      "title": "Generate a GBNF grammar for JSON output from a schema",
      "topics": [
        "edge_json_grammar"
      ]
    },
    {
      "page": "edge_list_models",
      "title": "List popular pre-configured models",
      "topics": [
        "edge_list_models"
      ]
    },
    {
      "page": "edge_load_model",
      "title": "Load a local GGUF model for inference",
      "topics": [
        "edge_load_model"
      ]
    },
    {
      "page": "edge_load_ollama_model",
      "title": "Load an Ollama model by partial SHA-256 hash",
      "topics": [
        "edge_load_ollama_model"
      ]
    },
    {
      "page": "edge_map",
      "title": "Apply a prompt template to a vector of texts",
      "topics": [
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      ]
    },
    {
      "page": "edge_model_n_embd",
      "title": "Get the embedding dimension of a loaded model",
      "topics": [
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      ]
    },
    {
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      "title": "Quick setup for a popular model",
      "topics": [
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      "topics": [
        "edge_serve"
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      "page": "edge_set_verbose",
      "title": "Control llama.cpp logging verbosity",
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      "title": "Query SIMD optimization status",
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      "title": "Compute cosine similarity between two embedding vectors",
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      ]
    },
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      ]
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      ]
    },
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      ]
    },
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      "title": "Test if an Ollama model blob can be used with edgemodelr",
      "topics": [
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      ]
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