ea4all-agentic-companion-readme-udpate

README.md

@@ -5,37 +5,37 @@ colorFrom: purple
 colorTo: green
 sdk: docker
 pinned: false
-license: mit
+license: apache-2.0
+python_version: 3.12.10
 ---
 
+## Architect Agentic Companion
 
-# Title
+![Agent System Container](ea4all/images/ea4all_architecture.png)
 
-Connect, Explore, Together: harness the value of Enterprise Architecture in the era of Generative AI to positively impact individuals and organisations.\n
 
+## Background
 
-## Overview
+- `Trigger`: How disruptive may Generative AI be for Enterprise Architecture Capability (People, Process and Tools)?
+- `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.
+- `Ability`: Exploit my carrer background and skillset across system development, business accumen, innovation and architecture to accelerate GenAI exploration while learning new things.
 
-`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.
+> 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
-
+- `Empower individuals with Knowledge`: understand and talk about Business and Technology strategy, IT landscape, Architectue Artefacts in a single click of button.
+- `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.
+- `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.
+- `Increase collaboration`: democratise architecture work and knowledge with anyone using natural language.
+- `Cost optimisation`: intelligent allocation of architects time for valuable business tasks.
+- `Business Growth`: create / re-use of (new) products and services, and people experience enhancements.
+- `Resilience`: assess solution are secured by design, poses any risk and how to mitigate, apply best-practices.
+- `Streamline`: the process of managing and utilizsng architectural knowledge and tools in a user-friendly way.
 
 ## Knowledge context
 
-Synthetic dataset is used to exemplify the Agentic System capabilities.
+Synthetic datasets are used to exemplify the Agentic System capabilities.
 
 ### IT Landscape Question and Answering
 
@@ -49,6 +49,11 @@ Synthetic dataset is used to exemplify the Agentic System capabilities.
         - Business capability
         - Business domain
         - Description  
+
+    - Bring Your Own Data: upload your own IT landscape data
+        - Application Portfolio Management
+            - xlsx tabular format
+            - first row (header) with fields name (colums)
     
 ### Architecture Diagram Visual Question and Answering
 
@@ -70,14 +75,14 @@ Synthetic dataset is used to exemplify the Agentic System capabilities.
 
 ## Architecture
 
-<italic>Core architecture built upon python, langchain, meta-faiss, gradio and Openai.<italic>
+<italic>Core architecture built upon Python, Langchain, Langgraph, Langsmith, and Gradio.<italic>
 
     - Python
         - Pandas
         - Langchain
-        - Langsmith
         - Langgraph
         - Huggingface
+        - CrewAI
 
     - RAG (Retrieval Augmented Generation)
         - Vectorstore
@@ -88,23 +93,26 @@ Synthetic dataset is used to exemplify the Agentic System capabilities.
 
     - Models: 
         - OpenAI
-        - Llama
+        - Meta/Llama
+        - Google Gemini
     
     - Hierarchical-Agent-Teams: 
-        - Tabular-question-and-answering
+        - Tabular-question-answering over your own document
         - Supervisor
         - Visual Questions Answering 
         - Diagram Component Analysis
         - Risk & Vulnerability and Mitigation options
-        - Well-Architected Design Assessment
-        - Vision and Target Reference Architecture
+        - Well-Architecture Design Assessment
+        - Vision and Target Architecture
+        - Architect Demand Management
     
     - User Interface
         - Gradio
 
-    - Hosting: Huggingface Space
-    
-## Agentic System Architecture
-![Agent System Container](images/ea4all_agent_container.png)
+    - Observability & Evaluation
+        - Langsmith
 
+    - Hosting
+        - Huggingface Space
+    
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference