Unite.AI

The Real Reason Your RAG Pipeline Keeps Hallucinating

You know the ritual. The pipeline hallucinated in front of a customer, so you swapped the embedding model. Then you upgraded ...
marktechpost

RAG-Anything Tutorial: Build a Multimodal Retrieval Pipeline for Text, Tables, Equations, and Images in Colab

In this tutorial, we build a RAG-Anything workflow and use it to explore how multimodal retrieval works across text, tables, equations, and images. We start by preparing the Colab environment, ...
IEEE

ONCORAG: A Knowledge Graph-Augmented Rag Framework for Mechanism-Aware Oncology Recommendations

Abstract: Large language models (LLMs) have shown promise in clinical literature summarization, yet often suffer from hallucinations and limited mechanism-level interpretability. We propose ONCORAG, a ...
GitHub

lijunjie469/neo4j-graphrag-python

The official Neo4j GraphRAG package for Python enables developers to build graph retrieval augmented generation (GraphRAG) applications using the power of Neo4j and Python. As a first-party library, ...
IEEE

Permission-Aware RAG: Identity and Access Management (IAM)-Based Access Filtering in Multi-Resource Environments

Abstract: Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by integrating external knowledge sources, which significantly improves response accuracy and contextual relevance.