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title: Talk to your Multi-Agentic Architect Partner | |
emoji: π | |
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 | |
 | |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |