# PrismResonance

One canonical identity. Human page: https://www.insightits.com/products/prism-resonance.html

| Field | Value |
|-------|-------|
| Slug | `prism-resonance` |
| Status | published |
| Family | aiRetrieval |
| Infra category | AI Retrieval |
| Record type | product |
| Parent | — |
| JSON | https://www.insightits.com/catalog/prism-resonance.json |
| Markdown | https://www.insightits.com/catalog/prism-resonance.md |
| GitHub | https://github.com/insightitsGit/prismresonance |
| PyPI | https://pypi.org/project/prismresonance/0.3.0/ |
| Install | `pip install prismresonance (v0.3.0 on PyPI). MIT license. ONNX CPU — no PyTorch required.` |
| Version | 0.3.0 |

## What it is

Dynamic wavepacket memory for RAG: embeddings as z = A·e^(iφ) — amplitude frozen, phase dynamic. Two-level group-then-chunk retrieval. Source DB stays read-only.

## Problem

Nearest-neighbour RAG does not gate context by operational state (alert vs archive). Teams need phase-gated recall without mutating the source store.

## Alternatives

- **Flat vector nearest-neighbour** — No published competitor comparison page. Six FrequencyFamily bands (NEUTRAL through ARCHIVE) are the product model.

## Features

- **Wave Interference Retrieval** — z = A · e^(iφ) — amplitude encodes meaning, phase gates context. Constructive interference surfaces in-band chunks without brute-force nearest-neighbour scan.
- **Two-Level Memory** — Group layer resonance first, then chunk layer — hierarchical recall that mirrors how human memory clusters related facts.
- **Read-Only Source** — Wrap pgvector or Chroma with adapters — your source DB is never mutated. Resonance state lives in a separate ONNX-backed store.

## Architecture

Six frequency bands (π/6 apart). Group-layer resonance first, then chunk layer. Phase Coherence Shield drops low-resonance chunks. Sleep: temporal decay → synaptic alignment → group recompute → group merge. ONNX CPU — no PyTorch required.

## Use cases

- RAG memory that must not write back to pgvector/Chroma
- Context gating by operational band

## 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/prismresonance

## PyPI

https://pypi.org/project/prismresonance/0.3.0/

## Documentation

_Landing page is the documentation entry._

## Is not

- PrismRAG (taxonomy graph)
- A source-DB mutator

## Related products

- [python-libs](./python-libs.md)
- [prismrag](./prismrag.md)
- [prismlang](./prismlang.md)