Reworked to produce research brief without tables. Updated README. Code compiles.: update README.md
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# LangGraph Comparative Review Agent
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# LangGraph research brief generator
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## Overview
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This repository contains a LangGraph agent that, given three entities, builds a comparative review table. The agent:
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This repository contains a LangGraph agent that generates a connected research brief on a single topic. The agent:
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1. Generates 3‑5 comparison criteria using an LLM.
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2. For each entity‑criterion pair performs a Tavily web search and collects a short note.
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3. Builds a Markdown table with rows = criteria, columns = entities.
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4. Produces a short verdict recommending the best entity for each use case.
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1. Uses an LLM to generate concise section headings for the brief.
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2. For each heading, performs a Tavily web search to fetch relevant content.
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3. Aggregates the sections into a single Markdown brief with a summary.
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The agent is implemented in `src/main.py` and can be run from the command line.
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## Usage
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```bash
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# Default demo – compares Chroma, FAISS, Qdrant
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# Default demo – generates a brief on "Artificial Intelligence"
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python -m src.main
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# Custom entities
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python -m src.main "Entity1" "Entity2" "Entity3"
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# Custom topic
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python -m src.main "Quantum Computing"
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```
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The script prints the generated criteria, the comparison table, and the verdict.
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The script prints the generated brief in Markdown format.
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