Combating Misinformation with Responsible AI: A Fact-Checking Multi-agent Tool Powered by LangChain and Groq

Author(s): Vikram Bhat

Originally published on Towards AI.

Learn how LangChain and Groq can power a robust solution to verify claims, analyze sentiment, and promote ethical AI practices.

This member-only story is on us. Upgrade to access all of Medium.

Image generated using napkin.ai

There is so much content on the internet, making it hard to figure out what’s real and what’s fake. With social media and AI tools becoming more popular, misinformation is spreading faster than ever. So, how can we know if the information we find online is accurate or misleading?

This blog introduces an innovative Responsible AI tool designed to tackle these challenges: a Claim Verification system, built using LangChain and ChatGroq. At the core of this system is a multi-agent architecture, where multiple specialized agents work together to verify claims. Each agent focuses on a specific task — gathering evidence, analyzing context, fact-checking, and even assessing sentiment. By leveraging LangChain’s powerful framework for multi-agent workflows, the system ensures a comprehensive and accurate analysis of any claim you submit.

In this blog, I will show you the main features of this fact checking multi-agent tool, and talk about how it can help promote ethical AI practices and fight against misinformation. Whether you’re a student, a researcher, or just curious about AI, this tool makes the digital world easier to trust and more transparent.

Github Repo: The complete code for this… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI