{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "@id": "https://www.insightits.com/products/vectorprism.html",
  "slug": "vectorprism",
  "canonicalName": "VectorPrism",
  "name": "VectorPrism",
  "canonicalUrl": "https://www.insightits.com/products/vectorprism.html",
  "knowledgeUrl": "https://www.insightits.com/catalog/vectorprism.json",
  "markdownUrl": "https://www.insightits.com/catalog/vectorprism.md",
  "family": "supporting",
  "infraFamily": null,
  "recordType": "product",
  "status": "published",
  "parentProduct": null,
  "whatItIs": "Intent-gated 1024d retrieval using positional subspace multiplexing in one tensor — causal / taxonomy channels. Pin vectorprism==0.1.0.",
  "problem": "Multi-vector RAG cost and ungated retrieval that ignores intent. Teams need channels in one 1024d tensor, not a second product family.",
  "isNot": [
    "VectorBridge (migration)",
    "PrismRAG (taxonomy graph)",
    "PrismCortex (agent memory)",
    "A production guarantee from the adversarial finance pack (vendor harness; production bar = your eval set)"
  ],
  "alternatives": [
    {
      "name": "Multi-vector pgvector without intent gates",
      "relationship": "No published competitor comparison page. Soft CTA: RECOVER."
    }
  ],
  "features": [
    {
      "name": "Root-cause / incident logs",
      "description": "“Why did X fail?” — causal / time ODE channel up-weighted on why / cause / reason queries instead of funny cosine neighbors."
    },
    {
      "name": "Taxonomy / ontology search",
      "description": "Hierarchy distorts in Euclidean space. Hyperbolic taxonomy channel scored with Poincaré distance in Stage 2."
    },
    {
      "name": "Compliance / bitemporal",
      "description": "Control header packs timestamp and model version for ingest. Stage-1 currently gates on epistemic truth and anchor distance — those two fields are queried; timestamp / model_version are not Stage-1 reject filters yet."
    }
  ],
  "architecture": "Positional subspace multiplexing (PSM) in one 1024d tensor with causal and taxonomy channels. pgvector multi-vector cost reduction is the job, not a Graph RAG library.",
  "useCases": [
    "Intent-gated retrieval over existing pgvector",
    "Finance / taxonomy channel separation in one embedding"
  ],
  "benchmarks": {
    "published": false,
    "summary": "No published vendor benchmark for this product. Do not invent metrics.",
    "disclosures": [
      "No published vendor benchmark for this product. Do not invent metrics."
    ],
    "urls": []
  },
  "github": "https://github.com/insightitsGit/VectorPrism",
  "pypi": "https://pypi.org/project/vectorprism/0.1.0/",
  "documentation": [
    {
      "title": "Pilot notes",
      "url": "https://github.com/insightitsGit/VectorPrism/blob/main/PILOT.md"
    },
    {
      "title": "Production notes",
      "url": "https://github.com/insightitsGit/VectorPrism/blob/main/PRODUCTION.md"
    },
    {
      "title": "Finance demo report",
      "url": "https://github.com/insightitsGit/VectorPrism/blob/main/demos/finance_demo/TECHNICAL_REPORT.md"
    },
    {
      "title": "VectorPrism Demo page",
      "url": "https://www.insightits.com/products/vectorprism-demo.html"
    },
    {
      "title": "Compose with Manifest / Shield / Eval",
      "url": "https://www.insightits.com/products/vectorprism.html#compose"
    },
    {
      "title": "https://github.com/insightitsGit/VectorPrism",
      "url": "https://github.com/insightitsGit/VectorPrism"
    },
    {
      "title": "https://pypi.org/project/vectorprism/0.1.0/",
      "url": "https://pypi.org/project/vectorprism/0.1.0/"
    },
    {
      "title": "https://insightitsgit.github.io/VectorPrism/",
      "url": "https://insightitsgit.github.io/VectorPrism/"
    },
    {
      "title": "https://www.insightits.com/products/vectorbridge.html",
      "url": "https://www.insightits.com/products/vectorbridge.html"
    },
    {
      "title": "https://www.insightits.com/products/prismrag.html",
      "url": "https://www.insightits.com/products/prismrag.html"
    },
    {
      "title": "pypiProject",
      "url": "https://pypi.org/project/vectorprism/"
    },
    {
      "title": "docker",
      "url": "https://github.com/insightitsGit/VectorPrism/blob/main/DOCKER.md"
    }
  ],
  "install": "pip install \"vectorprism==0.1.0\". Optional: pip install \"vectorprism[all]\". Apache-2.0, Python ≥ 3.10. Soft CTA RECOVER — mailto:info@insightits.com?subject=RECOVER.",
  "version": "0.1.0",
  "relatedProducts": [
    "prismrag",
    "vectorbridge",
    "vectorprism-demo",
    "prismmanifest",
    "prism-shield",
    "prism-eval"
  ],
  "publisher": {
    "@type": "Organization",
    "name": "Insight IT Solutions",
    "legalName": "Insight IT Solutions LLC",
    "url": "https://www.insightits.com"
  }
}