sqlrite 1.0.2

RAG-oriented SQLite wrapper for AI agent workloads
Documentation 
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{
  "k_values": [1, 3, 5],
  "corpus": [
    {
      "id": "c1",
      "doc_id": "doc-rust",
      "content": "Rust powers safe AI agent backends.",
      "embedding": [1.0, 0.0, 0.0],
      "metadata": { "tenant": "demo", "topic": "rust" },
      "source": "docs/rust.md"
    },
    {
      "id": "c2",
      "doc_id": "doc-sqlite",
      "content": "SQLite provides local-first storage for embedded systems.",
      "embedding": [0.7, 0.3, 0.0],
      "metadata": { "tenant": "demo", "topic": "sqlite" },
      "source": "docs/sqlite.md"
    },
    {
      "id": "c3",
      "doc_id": "doc-postgres",
      "content": "PostgreSQL offers robust relational transactions.",
      "embedding": [0.0, 1.0, 0.0],
      "metadata": { "tenant": "demo", "topic": "postgres" },
      "source": "docs/postgres.md"
    },
    {
      "id": "c4",
      "doc_id": "doc-rag",
      "content": "Hybrid retrieval combines vector similarity and lexical scoring.",
      "embedding": [0.6, 0.4, 0.0],
      "metadata": { "tenant": "demo", "topic": "retrieval" },
      "source": "docs/rag.md"
    },
    {
      "id": "c5",
      "doc_id": "doc-ops",
      "content": "Metadata filters improve tenant-safe retrieval for SaaS agents.",
      "embedding": [0.4, 0.6, 0.0],
      "metadata": { "tenant": "demo", "topic": "ops" },
      "source": "docs/ops.md"
    }
  ],
  "queries": [
    {
      "id": "q1",
      "query_text": "rust ai backends",
      "query_embedding": [0.95, 0.05, 0.0],
      "relevant_chunk_ids": ["c1"],
      "metadata_filters": { "tenant": "demo" },
      "doc_id": null,
      "alpha": 0.6,
      "candidate_limit": 20,
      "top_k": 5
    },
    {
      "id": "q2",
      "query_text": "hybrid retrieval vector lexical",
      "query_embedding": [0.62, 0.38, 0.0],
      "relevant_chunk_ids": ["c4", "c2"],
      "metadata_filters": { "tenant": "demo" },
      "doc_id": null,
      "alpha": 0.5,
      "candidate_limit": 20,
      "top_k": 5
    },
    {
      "id": "q3",
      "query_text": "tenant safe metadata filtering",
      "query_embedding": [0.35, 0.65, 0.0],
      "relevant_chunk_ids": ["c5"],
      "metadata_filters": { "tenant": "demo" },
      "doc_id": null,
      "alpha": 0.5,
      "candidate_limit": 20,
      "top_k": 5
    }
  ]
}