docs: add readme for multi-agent sample

Author: radugheo

samples/multi-agent/README.md

@@ -0,0 +1,56 @@
+# Company Research Agent
+
+This UiPath LlamaIndex agent assists in researching companies using AI and human-in-the-loop (HITL) collaboration. It triggers external processes, waits for human input, and generates validated reports.
+
+## Features
+1. Triggers a UiPath process to research the company name.
+2. Human-in-the-loop feedback for approval.
+3. Produces the final, validated company report.
+
+## Getting Started
+
+### 1. Clone the Repository
+
+```sh
+git clone https://github.com/your-org/uipath-llamaindex-python.git
+cd uipath-llamaindex-python/samples/multi-agent
+```
+
+### 2. Set Up Python Environment
+
+```sh
+python -m venv .venv
+source .venv/bin/activate  # On Windows: .venv\Scripts\activate
+pip install -r requirements.txt
+```
+
+Or use `pyproject.toml` with pip:
+```sh
+pip install .
+```
+
+### 3. Configure Environment
+
+Copy `.env.template` to `.env` and fill in your secrets (API keys, tokens, etc.)
+
+### 4. Run the Agent
+
+```sh
+uipath run agent --file ./input.json
+```
+### 5. Resume
+
+To approve the rules and commit them use:
+```sh
+uipath run agent true --resume
+```
+
+Example:
+```sh
+uipath run agent --file ./input.json
+```
+
+### Deployment Guide
+
+To run the company-researcher-agent on the UiPath Cloud Platform, follow this guide:
+[Ticket Classification Sample Deployment](https://github.com/UiPath/uipath-langchain-python/tree/main/samples/ticket-classification)