brojs-task-6a22c713fd30e81cf315e9fe/README.md

LangGraph Comparison Agent

Overview

This repository contains a LangGraph agent that, given three entities (e.g. vector databases, frameworks, or products), builds a comparative review. The agent:

1. Plans criteria – LLM generates 3‑5 comparison criteria based on the entities.
2. Researches each entity‑criterion pair – uses Tavily web search to fetch a short note for each pair.
3. Builds a Markdown table – rows are criteria, columns are entities.
4. Produces a verdict – LLM gives a concise recommendation.

The final output is a Markdown table followed by a verdict paragraph.

Requirements

pip install -r requirements.txt

Environment variables:

• OPENAI_API_KEY – key for the OpenAI model used by LangChain.
• TAVILY_API_KEY – key for the Tavily API.

Usage

# Default demo – compares Chroma, FAISS, Qdrant
python -m src.main

# Custom entities
python -m src.main "Chroma,FAISS,Qdrant"

The script prints the comparison table and verdict in Markdown format.