feat: solution for 'Повторный экзамен #2: Сравнительный обзор 3 сущностей (Tavily)'

README.md

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+# LangGraph Comparative Review Agent
+
+This project implements a LangGraph agent that, given three entities (e.g., technologies, products, or approaches), produces a comparative review. The agent:
+
+1. Generates 3–5 comparison criteria using an LLM.
+2. Performs a web search for each entity‑criterion pair via Tavily and stores a short note.
+3. Builds a Markdown table with the findings.
+4. Produces a verdict recommending which entity suits which use case.
+
+## Features
+
+- **LLM powered**: Uses OpenAI’s GPT model to generate criteria and verdicts.
+- **Web search**: Uses Tavily to fetch up-to-date information for each pair.
+- **CLI**: Run from the command line with default or custom entities.
+- **Modular**: Separate files for state, nodes, graph, and CLI.
+
+## Setup
+
+```bash
+# Create a virtual environment (optional but recommended)
+python -m venv .venv
+source .venv/bin/activate  # On Windows use `.venv\Scripts\activate`
+
+# Install dependencies
+pip install -r requirements.txt
+
+# Create a .env file with your API keys
+cp .env.example .env
+# Edit .env and fill in your keys
+```
+
+## Usage
+
+```bash
+python src/main.py
+```
+
+The script will compare the default entities: **Chroma, FAISS, Qdrant**.  
+You can also provide custom entities:
+
+```bash
+python src/main.py --entities "TensorFlow, PyTorch, JAX"
+```
+
+The output will display:
+
+1. Generated comparison criteria.
+2. The Markdown table of findings.
+3. The final verdict.
+
+## Project Structure
+
+```
+src/
+├── cli.py          # CLI entry point
+├── graph.py        # LangGraph definition
+├── main.py         # Script to run the graph
+├── nodes.py        # Node implementations
+└── state.py        # TypedDict for state
+```
+
+## License
+
+MIT License