# VectorPrism One canonical identity. Human page: https://www.insightits.com/products/vectorprism.html | Field | Value | |-------|-------| | Slug | `vectorprism` | | Status | published | | Family | supporting | | Infra category | — | | Record type | product | | Parent | — | | JSON | https://www.insightits.com/catalog/vectorprism.json | | Markdown | https://www.insightits.com/catalog/vectorprism.md | | GitHub | https://github.com/insightitsGit/VectorPrism | | PyPI | https://pypi.org/project/vectorprism/0.1.0/ | | 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 | ## What it is 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. ## Alternatives - **Multi-vector pgvector without intent gates** — No published competitor comparison page. Soft CTA: RECOVER. ## Features - **Root-cause / incident logs** — “Why did X fail?” — causal / time ODE channel up-weighted on why / cause / reason queries instead of funny cosine neighbors. - **Taxonomy / ontology search** — Hierarchy distorts in Euclidean space. Hyperbolic taxonomy channel scored with Poincaré distance in Stage 2. - **Compliance / bitemporal** — 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. ## Use cases - Intent-gated retrieval over existing pgvector - Finance / taxonomy channel separation in one embedding ## Benchmarks No published vendor benchmark for this product. Do not invent metrics. ### Disclosures - No published vendor benchmark for this product. Do not invent metrics. ## GitHub https://github.com/insightitsGit/VectorPrism ## PyPI https://pypi.org/project/vectorprism/0.1.0/ ## Documentation - [Pilot notes](https://github.com/insightitsGit/VectorPrism/blob/main/PILOT.md) - [Production notes](https://github.com/insightitsGit/VectorPrism/blob/main/PRODUCTION.md) - [Finance demo report](https://github.com/insightitsGit/VectorPrism/blob/main/demos/finance_demo/TECHNICAL_REPORT.md) - [VectorPrism Demo page](https://www.insightits.com/products/vectorprism-demo.html) - [Compose with Manifest / Shield / Eval](https://www.insightits.com/products/vectorprism.html#compose) - [https://github.com/insightitsGit/VectorPrism](https://github.com/insightitsGit/VectorPrism) - [https://pypi.org/project/vectorprism/0.1.0/](https://pypi.org/project/vectorprism/0.1.0/) - [https://insightitsgit.github.io/VectorPrism/](https://insightitsgit.github.io/VectorPrism/) - [https://www.insightits.com/products/vectorbridge.html](https://www.insightits.com/products/vectorbridge.html) - [https://www.insightits.com/products/prismrag.html](https://www.insightits.com/products/prismrag.html) - [pypiProject](https://pypi.org/project/vectorprism/) - [docker](https://github.com/insightitsGit/VectorPrism/blob/main/DOCKER.md) ## Is not - VectorBridge (migration) - PrismRAG (taxonomy graph) - PrismCortex (agent memory) - A production guarantee from the adversarial finance pack (vendor harness; production bar = your eval set) ## Related products - [prismrag](./prismrag.md) - [vectorbridge](./vectorbridge.md) - [vectorprism-demo](./vectorprism-demo.md) - [prismmanifest](./prismmanifest.md) - [prism-shield](./prism-shield.md) - [prism-eval](./prism-eval.md)