Task

Currently the Agentic Sample workflow has Legal and Support Agents https://github.com/thepetk/langgraph-agents/blob/main/examples/langchain-langgraph/workflow.py but the workflow needs Agents for other RAG pipeline and vector stores namely the notebooks from Quickstart RAG https://github.com/rh-ai-quickstart/RAG/tree/dev/notebooks 

• Procurement
• HR
• Sales

(The Workflow.py currently has Legal and Support Agents)

We need to build out agents for them. Also look into vector store optimization i.e. specific vector store looked up after classification rather than all of them

The idea is also to have Llama Stack Client implementation for predominantly all the Agents, except one Agent can be OpenAI client for raising awareness.

Background

Dependencies and Blockers

QE impacted work
Documentation impacted work 

Acceptance Criteria