app-a4all-agentic-workflow-sprint-3-deploy-docker-live

README.md

@@ -1,5 +1,5 @@
 ---
-title: Talk to your Multi-Agent Architect
+title: Talk to your Multi-Agentic Architect System
 emoji: 👁
 colorFrom: purple
 colorTo: green
@@ -8,22 +8,36 @@ pinned: false
 license: mit
 ---
 
+
 # Title
 
-Empower people with access to the value of Enterprise Architecture Knowledge using my Generative AI abilities.
+Empower people with ability to harness the value of Enterprise Architecture through Generative AI to positively impact individuals and organisations.\n
 
 
 ## Overview
 
-What if you could interact with your IT landscape using natural language, for example, \
-ask what oppurtinities for simplification it may have. So, you would be able to identify initial options to a new business problem \
-or assess impact of changes. That's not all, you would be able to identify risks and vulnerabilities on your solution architecture visual artefacts and how to mitigate them, \
-enhance the governance and assurance process to accelerate the solution architecture delivery, \
-improve quality and increase collaboration.
+`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 areas such as development, business accumen, innovation and architecture to accelerate GenAI exploration. \n\n
+
+> That's how the `EA4ALL-Agentic system` was born and ever since continuously evolving as a result of this exploration journey.
+
+## 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
 
-A synthetic sample IT Landscape dataset, which is described below, is used as context to answer any inquiry for purpose of this minimal-viable release.
+Synthetic datasets are used to exemplify the Agentic System capabilities.
+
+### IT Landscape Question and Answering
 
     - Application name
         - Business fit: appropriate, inadequate, perfect
@@ -36,44 +50,50 @@ A synthetic sample IT Landscape dataset, which is described below, is used as co
         - Business domain
         - Description  
 
-Bring Your Own Data: upload your own IT landscape data or Architecture Diagram and start talking to them.
-    
-    - Application Portfolio Management
-        - xlsx tabular format
-        - first row (header) with fields name (colums)
+    - 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
+
     - 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.
+                - 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 evolution, questions and answers are logged in. 
+    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 3.11.3
+    - Python
         - Pandas
         - Langchain
         - Langsmith
         - Langgraph
+        - Huggingface
 
     - RAG (Retrieval Augmented Generation)
-        - Vectorstore: Faiss (Facebook AI Similarity Search
+        - Vectorstore
 
     - Prompt Engineering
         - Strategy & tactics: Task / Sub-tasks
-        - Agentic-Workflow: Agents
+        - Agentic Workflow
 
     - Models: 
-        - OpenAI GPT 3.5-turbo-1106 (Text Generation)
-        - OpenAI GPT-4-Vision-Preview (Visual Question Answering)
+        - OpenAI
+        - Llama
     
     - Hierarchical-Agent-Teams: 
         - Tabular-question-answering over your own document
@@ -82,16 +102,14 @@ For purpose of continuous evolution, questions and answers are logged in.
         - Diagram Component Analysis
         - Risk & Vulnerability and Mitigation options
         - Well-Architecture Design Assessment
+        - Vision and Target Architecture
     
     - User Interface
         - Gradio
 
     - Hosting: Huggingface Space
-        - CPU basic
-        - 2vCPU 16GB RAM
-
 
-## Agent Architecture
+## 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

packages.txt

@@ -0,0 +1 @@
+graphviz

requirements.txt

@@ -1,15 +1,19 @@
 gradio==4.29.0
 gradio_client==0.16.1
 faiss-cpu==1.7.4
-filetype==1.2.0
-langchain==0.1.16
-langchain-community==0.0.34
-langchain-core==0.1.45
-langchain-openai==0.1.3
-openai==1.10.0
-openpyxl==3.1.2
 pandas==2.2.2
-python-dotenv==1.0.0
-tiktoken==0.5.2
-langgraph==0.0.37
-langsmith==0.1.45
+filetype
+openpyxl
+python-dotenv
+tiktoken
+langgraph
+langsmith
+graphviz
+langchain
+langchain-community
+langchain-core
+langchain-experimental
+langchain-openai
+langgraph
+langsmith
+openai