piia-engram is a Doramagic Project Pack for Vector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance. It links the upstream repository, source-backed manual, prompt preview, AI context, and risk boundaries so users can evaluate the project before installation.

What should I verify first?

Verify create, query, delete, and rollback with a small public text sample before using real data.. Keep credentials out of the first run, record expected output, define cleanup, and use public sample data before real workloads.

What is the main risk?

Upgrade or migration may change expected behavior: v3.34.0 — Governance cutover + Universal harness + Playbook policy. Use upstream documentation and a sandbox validation path before adoption.

Vector Retrieval and RAG · Public

piia-engram

Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.

Vector databaseRAGEmbeddingsSemantic searchData boundaries

Best fitDevelopers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.

Check whether this project matches your task before installing it.

What it can doVector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot154 stars

8 forks · 1 contributors

Doramagic.ai Last verification date: 2026-05-31 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-05-31

What is piia-engram?

piia-engram is a vector database, retrieval, or RAG storage component for AI applications.
Best fit: Developers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.
Not for: Not for one-off model API calls or environments that cannot isolate indexed data, credentials, and persistence paths.
Capability added to an AI workflow: Vector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance
First safe verification step: Verify create, query, delete, and rollback with a small public text sample before using real data.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: Upgrade or migration may change expected behavior: v3.34.0 — Governance cutover + Universal harness + Playbook policy
Evidence base: https://github.com/Patdolitse/piia-engram, https://github.com/Patdolitse/piia-engram#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers connecting knowledge bases, documents, or app data to semantic retrieval or RAG workflows.

Match the project to your task before installing it.

CapabilityVector database setup checks, embedding model boundaries, collection management, query acceptance, and deletion guidance

Vector retrieval project for checking embedding storage, query semantics, RAG integration, data boundaries, and rollback.

RepositoryPatdolitse/piia-engram

154 stars · 8 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Overview

Related topics: Installation, Quick Start Guide, System Architecture

Source: https://github.com/Patdolitse/piia-engram / Human Manual

Installation

Related topics: Quick Start Guide, Setup Wizard

Source: https://github.com/Patdolitse/piia-engram / Human Manual

Quick Start Guide

Related topics: Installation, Setup Wizard

Source: https://github.com/Patdolitse/piia-engram / Human Manual

Setup Wizard

Related topics: Quick Start Guide, MCP Tools Reference

Source: https://github.com/Patdolitse/piia-engram / Human Manual

System Architecture

Related topics: Core Components, Security and Encryption

Source: https://github.com/Patdolitse/piia-engram / Human Manual

Sources: https://github.com/Patdolitse/piia-engram, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars154 stars

Forks8 forks

Contributors1 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using piia-engram with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Community source 1
github / github_issue
02
v3.40.0 - First-run confidence
github / github_release
03
v3.39.1 - Terminal Encoding Diagnostics
github / github_release
04
v3.39.0 - Local Workflow Visibility
github / github_release
05
v3.38.0 - Encoding repair guardrails
github / github_release
06
v3.37.0 - GUI entry adoption: piia-engram-mcp + uvx
github / github_release
07
v3.36.0 — Identity-layer security: corpus encryption + governance closur
github / github_release
08
v3.35.0 — Decision Threads & Permission Profile
github / github_release
09
v3.34.0 — Governance cutover + Universal harness + Playbook policy
github / github_release
10
Community source 10
github / github_release
11
Community source 11
github / github_release
12
Configuration risk requires verification
GitHub / issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install piia-engram

Official start command · https://github.com/Patdolitse/piia-engram#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

piia-engram Manual

Related topics: Installation, Quick Start Guide, System Architecture

Open the full manual

https://github.com/Patdolitse/piia-engram Project Manual
Table of Contents
Overview
Related Pages
Purpose and Scope
Core Objectives
What Engram Is Not
Architecture

Overview

Related topics: Installation, Quick Start Guide, System Architecture

Source: https://github.com/Patdolitse/piia-engram / Human Manual

Installation

Related topics: Quick Start Guide, Setup Wizard

Source: https://github.com/Patdolitse/piia-engram / Human Manual

Quick Start Guide

Related topics: Installation, Setup Wizard

Source: https://github.com/Patdolitse/piia-engram / Human Manual

Setup Wizard

Related topics: Quick Start Guide, MCP Tools Reference

Source: https://github.com/Patdolitse/piia-engram / Human Manual

System Architecture

Related topics: Core Components, Security and Encryption

Source: https://github.com/Patdolitse/piia-engram / Human Manual

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

medium

Installation risk requires verification

Upgrade or migration may change expected behavior: v3.34.0 — Governance cutover + Universal harness + Playbook policy

medium

Installation risk requires verification

Upgrade or migration may change expected behavior: v3.35.0 — Decision Threads & Permission Profile

medium

Installation risk requires verification

Upgrade or migration may change expected behavior: v3.37.0 - GUI entry adoption: piia-engram-mcp + uvx

medium

Installation risk requires verification

Upgrade or migration may change expected behavior: v3.39.0 - Local Workflow Visibility

medium

Configuration risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Configuration risk requires verification

Upgrade or migration may change expected behavior: v3.38.0 - Encoding repair guardrails

medium

Configuration risk requires verification

Upgrade or migration may change expected behavior: v3.40.0 - First-run confidence

medium

Capability evidence risk requires verification

May increase setup, validation, or first-run risk for the user.