Reworked to produce research brief without tables. Updated README. Code compiles.: update README.md

This commit is contained in:
2026-06-18 09:23:27 +00:00
parent 146f48d140
commit 9419a8795c
+9 -10
View File
@@ -1,13 +1,12 @@
# LangGraph Comparative Review Agent
# LangGraph research brief generator
## Overview
This repository contains a LangGraph agent that, given three entities, builds a comparative review table. The agent:
This repository contains a LangGraph agent that generates a connected research brief on a single topic. The agent:
1. Generates 35 comparison criteria using an LLM.
2. For each entitycriterion pair performs a Tavily web search and collects a short note.
3. Builds a Markdown table with rows = criteria, columns = entities.
4. Produces a short verdict recommending the best entity for each use case.
1. Uses an LLM to generate concise section headings for the brief.
2. For each heading, performs a Tavily web search to fetch relevant content.
3. Aggregates the sections into a single Markdown brief with a summary.
The agent is implemented in `src/main.py` and can be run from the command line.
@@ -25,11 +24,11 @@ The following environment variables must be set:
## Usage
```bash
# Default demo compares Chroma, FAISS, Qdrant
# Default demo generates a brief on "Artificial Intelligence"
python -m src.main
# Custom entities
python -m src.main "Entity1" "Entity2" "Entity3"
# Custom topic
python -m src.main "Quantum Computing"
```
The script prints the generated criteria, the comparison table, and the verdict.
The script prints the generated brief in Markdown format.