avfranco's picture
app-ea4all-confluence-dbr-safety-check-togaf-streaming-llama-3.3-live
7505c8a
---
title: Talk to your Multi-Agentic Architect Partner
emoji: πŸ‘
colorFrom: purple
colorTo: green
sdk: docker
pinned: false
license: mit
---
# Title
Connect, Explore, Together: harness the value of Enterprise Architecture in the era of Generative AI to positively impact individuals and organisations.\n
## Overview
`Trigger`: How disruptive may Generative AI be for Enterprise Architecture Capability (People, Process and Tools)? \n
`Motivation`: Master GenAI while disrupting Enterprise Architecture to empower individuals and organisations with ability to harness EA value and make people lives better, safer and more efficient. \n
`Ability`: Exploit my carrer background and skillset across system development, business accumen, innovation and architecture to accelerate GenAI exploration while learning new things. \n\n
> That's how the `EA4ALL-Agentic system` was born and ever since continuously evolving to build an ecosystem of Architects Agent partners.
## Benefits
`Empower individuals with Knowledge`: understand and talk about Business and Technology strategy, IT landscape, Architectue Artefacts in a single click of button. \n
`Increase efficiency and productivity`: generate a documented architecture with diagram, model and descriptions. Accelerate Business Requirement identification and translation to Target Reference Architecture. Automated steps and reduced times for task execution.\n
`Improve agility`: plan, execute, review and iterate over EA inputs and outputs. Increase the ability to adapt, transform and execute at pace and scale in response to changes in strategy, threats and opportunities. \n
`Increase collaboration`: democratise architecture work and knowledge with anyone using natural language.\n
`Cost optimisation`: intelligent allocation of architects time for valuable business tasks. \n
`Business Growth`: create / re-use of (new) products and services, and people experience enhancements. \n
`Resilience`: assess solution are secured by design, poses any risk and how to mitigate, apply best-practices. \n
## Knowledge context
Synthetic dataset is used to exemplify the Agentic System capabilities.
### IT Landscape Question and Answering
- Application name
- Business fit: appropriate, inadequate, perfect
- Technical fit: adequate, insufficient, perfect
- Business_criticality: operational, medium, high, critical
- Roadmap: maintain, invest, divers
- Architect responsible
- Hosting: user device, on-premise, IaaS, SaaS
- Business capability
- Business domain
- Description
### Architecture Diagram Visual Question and Answering
- Architecture Visual Artefacts
- jpeg, png
**Disclaimer**
- Your data & image are not accessible or shared with anyone else nor used for training purpose.
- EA4ALL-VQA Agent should be used ONLY FOR Architecture Diagram images.
- This feature should NOT BE USED to process inappropriate content.
### Reference Architecture Generation
- Clock in/out Use-case
## Log / Traceability
For purpose of continuous improvement, agentic workflows are logged in.
## Architecture
<italic>Core architecture built upon python, langchain, meta-faiss, gradio and Openai.<italic>
- Python
- Pandas
- Langchain
- Langsmith
- Langgraph
- Huggingface
- RAG (Retrieval Augmented Generation)
- Vectorstore
- Prompt Engineering
- Strategy & tactics: Task / Sub-tasks
- Agentic Workflow
- Models:
- OpenAI
- Llama
- Hierarchical-Agent-Teams:
- Tabular-question-and-answering
- Supervisor
- Visual Questions Answering
- Diagram Component Analysis
- Risk & Vulnerability and Mitigation options
- Well-Architected Design Assessment
- Vision and Target Reference Architecture
- User Interface
- Gradio
- Hosting: Huggingface Space
## Agentic System Architecture
![Agent System Container](images/ea4all_agent_container.png)
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference