Enterprise-AI-Reference-Architecture

Vendor-neutral enterprise AI architecture and practical leadership: discovery, decisions, 24 lifecycles, 8 reference designs, 17 starter scaffolds, security, evaluation, operations, and business outcomes. Proposed guidance with documented validation and publication boundaries

A new way for AI to search for data

View on GitHub

1GitHub stars

26commits on main

0forks

Python 64.2%, HCL 31.4%, Dockerfile 4.4% · created 2026-10-17 · last push 2026-10-23

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 1d5cae6772. It is the newest commit on main.

Selected work

PRIME
@MrKyaw

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-29. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

agentic-aiai-architectureai-governanceai-securityarchitecture-decision-recordsdesign-patternsenterprise-aifinops

Example questions

How does Enterprise-AI-Reference-Architecture implement agentic-ai?
Show the ai-architecture code in Enterprise-AI-Reference-Architecture.

Inside the indexed corpus

Languages by size: Python 64.2%, HCL 31.4%, Dockerfile 4.4%.
On GitHub since 2026-10-17, last push 2026-10-23, 26 commits on main.

Licence on GitHub and in the corpus

GitHub reported MIT for MrKyaw/Enterprise-AI-Reference-Architecture on 2026-10-29, and the LICENSE file at commit 1d5cae6772 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.

Contributors

PRIME (@MrKyaw) has 19 selected repositories on the hub.

Their other repository pages: MrKyaw/Mobility-Guided-Intelligent-Information-Assistant, MrKyaw/AgentForge-Enterprise-AI-Platform, MrKyaw/Agentic-Ops-Services-Platform, MrKyaw/Agentic-Project-Agnostic-Management-Advisor, MrKyaw/Agentic-Usage-Billing-Engine, MrKyaw/class_fsm.

Using XERJ with Enterprise-AI-Reference-Architecture

RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
Best grep alternative for AI coding agents (2026)
Ask questions about a GitHub repo without cloning it
Index a reference library for a coding agent

The prompt

Paste it into your AI agent. It clones MrKyaw/Enterprise-AI-Reference-Architecture at the pinned commit and indexes it on your machine.

Search the GitHub repository MrKyaw/Enterprise-AI-Reference-Architecture with XERJ (https://hub.xerj.org/corpus/mrkyaw--enterprise-ai-reference-architecture).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/MrKyaw/Enterprise-AI-Reference-Architecture Enterprise-AI-Reference-Architecture && git -C Enterprise-AI-Reference-Architecture checkout 1d5cae6772d22c3d48ab332f6be469f08e54f8eb
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Enterprise-AI-Reference-Architecture --url http://127.0.0.1:9200 --prefix enterprise-ai-reference --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

PRIME AI, prompts and agents corpora giskard cloud-custodian cognita MrKyaw/AgentForge-Enterprise-AI-Platform synentra/synentra huynguyengl99/agent-graph-engineering

Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.