Title Veracity An Open Source Ai Fact Checking System

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Use AI to pull data, clarify terms, and verify facts with our precise word-level tracing feature. A streamlined web application that analyzes claims to determine their truthfulness through evidence gathering and analysis, supporting efforts in misinformation detection. AskVeracity is an agentic AI system that verifies factual claims through a combination of NLP techniques and large language models. The system gathers and analyzes evidence from multiple sources to provide transparent and explainable verdicts. AskVeracity is built with a modular architecture: Option 1: Using Streamlit secrets (recommended for local development)

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For more information see our F.A.Q. Large Language Models (LLMs) are a powerful kind of instruction-ready AI chatbot. They are good at summarizing text like subject-matter experts would. Unlike experts, they can sometimes get basic things wrong in any number of ways. That's why asking them to reason on their own about how likely it is that a statement is true or false is not a reliable approach to using LLMs for fact-checking. Veri-fact.ai takes a more reliable approach based on “Retrieval-Augmented Generation” or RAG for short.

Here, this means having the LLM base its response on relevant text from reliable sources on the internet. Veri-fact.ai does this by: There are a few minor additional steps to this process, e.g.: That's all there is to it. Now you know! See our User Guidelines for more details on how to use the app.

An academic paper of an earlier version of the approach that goes into more technical detail is:

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