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  "code": null,
  "collection": "architecture",
  "href": "https://banes-lab.com/ontology#architecture-vector-search",
  "id": "vector-search",
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    "json": "https://banes-lab.com/json/records/layer/correctness-core",
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    "markdown": "https://banes-lab.com/records/layer/correctness-core.md",
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  "relations": [
    {
      "links": [
        {
          "href": "https://banes-lab.com/ontology/lexicon#lexicon-embeddings",
          "json": "https://banes-lab.com/json/records/lexicon/embeddings",
          "label": "Embeddings",
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      "links": [
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          "label": "Explainability/Recall",
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          "label": "Vector Search / Explainability/Recall",
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      "links": [
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      "relation": "linked-from"
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  ],
  "summary": "A mechanism that finds records whose embeddings lie close to a query's embedding.",
  "siblings": {
    "next": {
      "href": "https://banes-lab.com/ontology#architecture-knowledge-graphs",
      "json": "https://banes-lab.com/json/records/architecture/knowledge-graphs",
      "label": "Knowledge Graphs",
      "markdown": "https://banes-lab.com/records/architecture/knowledge-graphs.md",
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    "href": null,
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    "label": "Architecture principles",
    "markdown": "https://banes-lab.com/api/records/architecture.md",
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  "aliases": [],
  "exemplar": {
    "after": "const queryVector = await embedder.embed(query);\nconst results = await fooVectorIndex.search(queryVector, {\n  topK: 10,\n  filter: { tenantId },\n});",
    "before": "const results = foos.filter(foo => foo.text.includes(query));",
    "lang": "ts",
    "medium": "code"
  },
  "formedBy": null,
  "scope": [
    "retrieval",
    "search",
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  "severity": "contextual"
}