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AI

This domain groups systems that solve AI problems - shared vocabulary, common interfaces, and repeatable operational constraints. Use this page to see which systems already exist, what they ingest and emit, and which patterns we repeatedly rely on in this problem space.

Domains are how we avoid reinventing the same solution in slightly different shapes. When a domain repeats, it’s a signal to standardize schemas, mapping layers, auth patterns, and operator workflows.

Domain guide

How to read this domain

Definition

This domain groups systems focused on ai workflows, shared data models, and repeatable operational constraints.

What belongs

  • Systems where ai is the primary problem space.
  • Integrations that move, validate, or enforce data in this domain.
  • Operational tools that reduce risk and manual work for this domain.

What doesn't

  • Generic tools where ai is incidental metadata.
  • One-off experiments without domain-specific constraints.

Typical integrations and constraints

  • Source-of-truth feeds, vendor APIs, and scheduled extracts.
  • Schema drift, credential scope, and compliance requirements.
  • Role-based access and operational review cycles.

Common interfaces

  • REST/JSON APIs and vendor export endpoints.
  • CSV, SQL views, or Sheets-based boundary objects.
  • Auth boundaries (service accounts, OAuth, SSO).

Common patterns and playbooks

Local First Bootstrap Kit Rag Pipeline Reference Config

No playbooks mapped yet.

Results 3 projects
System · Maintenance

privateGPT

Expose a private, extensible RAG platform that works offline and keeps data inside the execution environment. Ingest documents from a local folder, splitting …

Automation Engines Reality Ingestion Human Interfaces Operational Adoption Canonical Storage
Open project
Field Tool · Prototyping

PrivateGPTConf

Package the steps and configuration needed to get a local PrivateGPT instance running with custom documents. Install prerequisites and clone PrivateGPT to a …

Reality Ingestion Human Interfaces Operational Adoption Canonical Storage
Open project
Component · Prototyping

PrivateGPTConf/env/default

Ship a known-good PrivateGPT configuration snapshot that the setup scripts can copy into a local installation. Provide default settings.yaml profiles and …

Automation Engines Reality Ingestion Human Interfaces Operational Adoption Canonical Storage
Open project