{
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  "Package": "ducksemantics",
  "Type": "Package",
  "Title": "DuckDB-Native Semantic Graph Grounding",
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  "Authors@R": "c(\nperson(given = \"Sounkou Mahamane\", family = \"Toure\",\nemail = \"sounkoutoure@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(given = \"Human Phenotype Ontology\", role = \"cph\",\ncomment = \"Bundled README fixture (CC BY 4.0)\")\n)",
  "Description": "DuckDB-native semantic graph grounding over arbitrary\nconcept graphs. The package owns graph schema creation, alias\nindexing, lexical mention grounding, transitive graph closure,\n'EmbeddingGemma' dense retrieval, 'ColBERT' late interaction,\nand 'BebeLM' judgment prompts. HPO, MONDO, ORPHANET, memory\ngraphs, and run ledgers are graph sources, not special package\nAPIs.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/sounkou-bioinfo/ducksemantics,\nhttps://sounkou-bioinfo.github.io/ducksemantics/",
  "BugReports": "https://github.com/sounkou-bioinfo/ducksemantics/issues",
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  "Remotes": [
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  "Repository": "https://rgenomicsetl.r-universe.dev",
  "Date/Publication": "2026-07-21 13:18:18 UTC",
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  "Author": "Sounkou Mahamane Toure [aut, cre],\nHuman Phenotype Ontology [cph] (Bundled README fixture (CC BY 4.0))",
  "Maintainer": "Sounkou Mahamane Toure <sounkoutoure@gmail.com>",
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    "ducksemantics_bebel_judge",
    "ducksemantics_bebel_runner",
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    "ducksemantics_benchmark",
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    "ducksemantics_benchmark_metrics",
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    "ducksemantics_cache_rds",
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    "ducksemantics_cluster_embeddings",
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    "ducksemantics_colbert_query",
    "ducksemantics_connect",
    "ducksemantics_default_judgment_instructions",
    "ducksemantics_embed",
    "ducksemantics_embed_cached",
    "ducksemantics_embedding_batch",
    "ducksemantics_embedding_cluster_graph_agreement",
    "ducksemantics_embedding_cluster_spec",
    "ducksemantics_embedding_cluster_summary",
    "ducksemantics_embedding_index_spec",
    "ducksemantics_embedding_provider",
    "ducksemantics_embedding_query",
    "ducksemantics_embedding_search",
    "ducksemantics_embeddinggemma_provider",
    "ducksemantics_ground",
    "ducksemantics_index_aliases",
    "ducksemantics_index_stats",
    "ducksemantics_init",
    "ducksemantics_json_judgment_parser",
    "ducksemantics_judge",
    "ducksemantics_judgment_prompt",
    "ducksemantics_late_interaction_search",
    "ducksemantics_lexical_annotator",
    "ducksemantics_materialize_embedding_index",
    "ducksemantics_normalize",
    "ducksemantics_parse",
    "ducksemantics_projection_sql",
    "ducksemantics_prompt_runner",
    "ducksemantics_read_obo",
    "ducksemantics_record_judgments",
    "ducksemantics_run",
    "ducksemantics_schema_sql",
    "ducksemantics_tables",
    "ducksemantics_token_embed",
    "ducksemantics_token_embedding_batch",
    "ducksemantics_token_embedding_batch_from_provider",
    "ducksemantics_token_embedding_provider",
    "ducksemantics_token_embedding_query",
    "ducksemantics_tokens",
    "ducksemantics_write_embeddings",
    "ducksemantics_write_graph",
    "ducksemantics_write_obo",
    "ducksemantics_write_token_embeddings",
    "DucksemanticsAnnotator",
    "DucksemanticsDbConnection",
    "DucksemanticsEmbeddingBatch",
    "DucksemanticsEmbeddingClusterSpec",
    "DucksemanticsEmbeddingIndexSpec",
    "DucksemanticsEmbeddingMatrix",
    "DucksemanticsEmbeddingProvider",
    "DucksemanticsEmbeddingQuery",
    "DucksemanticsJudgmentParser",
    "DucksemanticsPromptRunner",
    "DucksemanticsScalarText",
    "DucksemanticsSqlIdentifier",
    "DucksemanticsTable",
    "DucksemanticsTokenEmbeddingBatch",
    "DucksemanticsTokenEmbeddingProvider",
    "DucksemanticsTokenEmbeddingQuery"
  ],
  "_help": [
    {
      "page": "ducksemantics_annotate",
      "title": "Annotate text against the semantic alias index",
      "topics": [
        "ducksemantics_annotate"
      ]
    },
    {
      "page": "ducksemantics_bebel_judge",
      "title": "Judge mentions with a BebeLM/Rbebelm agent",
      "topics": [
        "ducksemantics_bebel_judge"
      ]
    },
    {
      "page": "ducksemantics_bebel_runner",
      "title": "Create a BebeLM prompt runner",
      "topics": [
        "ducksemantics_bebel_runner"
      ]
    },
    {
      "page": "ducksemantics_bebel_tool_judgment_parser",
      "title": "Create a BebeLM tool-call judgment parser",
      "topics": [
        "ducksemantics_bebel_tool_judgment_parser"
      ]
    },
    {
      "page": "ducksemantics_benchmark",
      "title": "Run a grounding benchmark",
      "topics": [
        "ducksemantics_benchmark"
      ]
    },
    {
      "page": "ducksemantics_benchmark_cases",
      "title": "Define benchmark cases",
      "topics": [
        "ducksemantics_benchmark_cases"
      ]
    },
    {
      "page": "ducksemantics_benchmark_metrics",
      "title": "Compute benchmark precision and recall",
      "topics": [
        "ducksemantics_benchmark_metrics"
      ]
    },
    {
      "page": "ducksemantics_cache_file",
      "title": "Cache a source file",
      "topics": [
        "ducksemantics_cache_file"
      ]
    },
    {
      "page": "ducksemantics_cache_rds",
      "title": "Cache an R value on disk",
      "topics": [
        "ducksemantics_cache_rds"
      ]
    },
    {
      "page": "ducksemantics_closure_sql",
      "title": "Materialize transitive edge closure",
      "topics": [
        "ducksemantics_closure_sql"
      ]
    },
    {
      "page": "ducksemantics_cluster_embeddings",
      "title": "Cluster embedding rows",
      "topics": [
        "ducksemantics_cluster_embeddings"
      ]
    },
    {
      "page": "ducksemantics_colbert_provider",
      "title": "Create a native ColBERT token-vector provider",
      "topics": [
        "ducksemantics_colbert_provider"
      ]
    },
    {
      "page": "ducksemantics_colbert_query",
      "title": "Construct a ColBERT late-interaction query",
      "topics": [
        "ducksemantics_colbert_query"
      ]
    },
    {
      "page": "ducksemantics_connect",
      "title": "Connect to a DuckDB semantic store",
      "topics": [
        "ducksemantics_connect"
      ]
    },
    {
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      "title": "Default judgment instructions",
      "topics": [
        "ducksemantics_default_judgment_instructions"
      ]
    },
    {
      "page": "ducksemantics_embed_cached",
      "title": "Cache provider embeddings in durable chunks",
      "topics": [
        "ducksemantics_embed_cached"
      ]
    },
    {
      "page": "ducksemantics_embedding_batch",
      "title": "Construct an embedding batch",
      "topics": [
        "ducksemantics_embedding_batch"
      ]
    },
    {
      "page": "ducksemantics_embedding_cluster_graph_agreement",
      "title": "Compare embedding clusters with graph edges",
      "topics": [
        "ducksemantics_embedding_cluster_graph_agreement"
      ]
    },
    {
      "page": "ducksemantics_embedding_cluster_spec",
      "title": "Construct an embedding clustering specification",
      "topics": [
        "ducksemantics_embedding_cluster_spec"
      ]
    },
    {
      "page": "ducksemantics_embedding_cluster_summary",
      "title": "Summarize stored embedding clusters",
      "topics": [
        "ducksemantics_embedding_cluster_summary"
      ]
    },
    {
      "page": "ducksemantics_embedding_index_spec",
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      "topics": [
        "ducksemantics_embedding_index_spec"
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    },
    {
      "page": "ducksemantics_embedding_provider",
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      "topics": [
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    },
    {
      "page": "ducksemantics_embedding_query",
      "title": "Construct an embedding search query",
      "topics": [
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    },
    {
      "page": "ducksemantics_embedding_search",
      "title": "Search embeddings with DuckDB vector functions",
      "topics": [
        "ducksemantics_embedding_search"
      ]
    },
    {
      "page": "ducksemantics_embeddinggemma_provider",
      "title": "Create an EmbeddingGemma dense retrieval provider",
      "topics": [
        "ducksemantics_embeddinggemma_provider"
      ]
    },
    {
      "page": "ducksemantics_index_aliases",
      "title": "Build the lexical alias index",
      "topics": [
        "ducksemantics_index_aliases"
      ]
    },
    {
      "page": "ducksemantics_index_stats",
      "title": "Summarize semantic index size",
      "topics": [
        "ducksemantics_index_stats"
      ]
    },
    {
      "page": "ducksemantics_init",
      "title": "Initialize semantic graph tables",
      "topics": [
        "ducksemantics_init"
      ]
    },
    {
      "page": "ducksemantics_json_judgment_parser",
      "title": "Create the default JSON judgment parser",
      "topics": [
        "ducksemantics_json_judgment_parser"
      ]
    },
    {
      "page": "ducksemantics_judge",
      "title": "Judge mentions with a model runner",
      "topics": [
        "ducksemantics_judge"
      ]
    },
    {
      "page": "ducksemantics_judgment_prompt",
      "title": "Build a semantic judgment prompt",
      "topics": [
        "ducksemantics_judgment_prompt"
      ]
    },
    {
      "page": "ducksemantics_late_interaction_search",
      "title": "Search token embeddings with exact late interaction",
      "topics": [
        "ducksemantics_late_interaction_search"
      ]
    },
    {
      "page": "ducksemantics_lexical_annotator",
      "title": "Create the default DuckDB lexical annotator",
      "topics": [
        "ducksemantics_lexical_annotator"
      ]
    },
    {
      "page": "ducksemantics_materialize_embedding_index",
      "title": "Materialize a fixed-dimension embedding table",
      "topics": [
        "ducksemantics_materialize_embedding_index"
      ]
    },
    {
      "page": "ducksemantics_normalize",
      "title": "Normalize text for semantic grounding",
      "topics": [
        "ducksemantics_normalize"
      ]
    },
    {
      "page": "ducksemantics_projection_sql",
      "title": "Project any edge-shaped source relation into graph shape",
      "topics": [
        "ducksemantics_projection_sql"
      ]
    },
    {
      "page": "ducksemantics_prompt_runner",
      "title": "Wrap a prompt function as a typed prompt runner",
      "topics": [
        "ducksemantics_prompt_runner"
      ]
    },
    {
      "page": "ducksemantics_provider_generics",
      "title": "Provider interface generics",
      "topics": [
        "ducksemantics_embed",
        "ducksemantics_ground",
        "ducksemantics_parse",
        "ducksemantics_provider_generics",
        "ducksemantics_run",
        "ducksemantics_token_embed"
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    },
    {
      "page": "ducksemantics_read_obo",
      "title": "Read an OBO ontology into semantic graph rows",
      "topics": [
        "ducksemantics_read_obo"
      ]
    },
    {
      "page": "ducksemantics_record_judgments",
      "title": "Record semantic judgments",
      "topics": [
        "ducksemantics_record_judgments"
      ]
    },
    {
      "page": "ducksemantics_schema_sql",
      "title": "DuckDB semantic graph schema",
      "topics": [
        "ducksemantics_schema_sql"
      ]
    },
    {
      "page": "ducksemantics_tables",
      "title": "Semantic graph table names",
      "topics": [
        "ducksemantics_tables"
      ]
    },
    {
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      "title": "Construct a token embedding batch",
      "topics": [
        "ducksemantics_token_embedding_batch"
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    },
    {
      "page": "ducksemantics_token_embedding_batch_from_provider",
      "title": "Construct a token embedding batch from a provider",
      "topics": [
        "ducksemantics_token_embedding_batch_from_provider"
      ]
    },
    {
      "page": "ducksemantics_token_embedding_provider",
      "title": "Wrap a token embedding function as a typed token provider",
      "topics": [
        "ducksemantics_token_embedding_provider"
      ]
    },
    {
      "page": "ducksemantics_token_embedding_query",
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      "topics": [
        "ducksemantics_token_embedding_query"
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    },
    {
      "page": "ducksemantics_tokens",
      "title": "Tokenize text for semantic grounding",
      "topics": [
        "ducksemantics_tokens"
      ]
    },
    {
      "page": "ducksemantics_write_embeddings",
      "title": "Store an embedding batch in DuckDB",
      "topics": [
        "ducksemantics_write_embeddings"
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    },
    {
      "page": "ducksemantics_write_graph",
      "title": "Write graph rows into the semantic store",
      "topics": [
        "ducksemantics_write_graph"
      ]
    },
    {
      "page": "ducksemantics_write_obo",
      "title": "Write an OBO ontology into the semantic store",
      "topics": [
        "ducksemantics_write_obo"
      ]
    },
    {
      "page": "ducksemantics_write_token_embeddings",
      "title": "Store token embeddings for late-interaction scoring",
      "topics": [
        "ducksemantics_write_token_embeddings"
      ]
    },
    {
      "page": "DucksemanticsAnnotator",
      "title": "Structural interface for text annotators",
      "topics": [
        "DucksemanticsAnnotator"
      ]
    },
    {
      "page": "DucksemanticsDbConnection",
      "title": "DBI connection reference",
      "topics": [
        "DucksemanticsDbConnection"
      ]
    },
    {
      "page": "DucksemanticsEmbeddingBatch",
      "title": "Embedding batch for the semantic store",
      "topics": [
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    },
    {
      "page": "DucksemanticsEmbeddingClusterSpec",
      "title": "Embedding clustering specification",
      "topics": [
        "DucksemanticsEmbeddingClusterSpec"
      ]
    },
    {
      "page": "DucksemanticsEmbeddingIndexSpec",
      "title": "Embedding index specification",
      "topics": [
        "DucksemanticsEmbeddingIndexSpec"
      ]
    },
    {
      "page": "DucksemanticsEmbeddingMatrix",
      "title": "Embedding matrix contract",
      "topics": [
        "DucksemanticsEmbeddingMatrix"
      ]
    },
    {
      "page": "DucksemanticsEmbeddingProvider",
      "title": "Structural interface for embedding providers",
      "topics": [
        "DucksemanticsEmbeddingProvider"
      ]
    },
    {
      "page": "DucksemanticsEmbeddingQuery",
      "title": "Embedding search query",
      "topics": [
        "DucksemanticsEmbeddingQuery"
      ]
    },
    {
      "page": "DucksemanticsJudgmentParser",
      "title": "Structural interface for judgment parsers",
      "topics": [
        "DucksemanticsJudgmentParser"
      ]
    },
    {
      "page": "DucksemanticsPromptRunner",
      "title": "Structural interface for prompt runners",
      "topics": [
        "DucksemanticsPromptRunner"
      ]
    },
    {
      "page": "DucksemanticsScalarText",
      "title": "Non-empty scalar text",
      "topics": [
        "DucksemanticsScalarText"
      ]
    },
    {
      "page": "DucksemanticsSqlIdentifier",
      "title": "SQL identifier",
      "topics": [
        "DucksemanticsSqlIdentifier"
      ]
    },
    {
      "page": "DucksemanticsTable",
      "title": "Data frame contract",
      "topics": [
        "DucksemanticsTable"
      ]
    },
    {
      "page": "DucksemanticsTokenEmbeddingBatch",
      "title": "Token embedding batch for late-interaction storage",
      "topics": [
        "DucksemanticsTokenEmbeddingBatch"
      ]
    },
    {
      "page": "DucksemanticsTokenEmbeddingProvider",
      "title": "Structural interface for token embedding providers",
      "topics": [
        "DucksemanticsTokenEmbeddingProvider"
      ]
    },
    {
      "page": "DucksemanticsTokenEmbeddingQuery",
      "title": "Token embedding late-interaction query",
      "topics": [
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