No Jitter

Can you afford not to invest in knowledge management?

Companies with successful strategies for making their CX knowledge AI-ready are seeing double-digit gains in revenue and ...

Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...

Contextual AI launches Agent Composer to turn enterprise RAG into production-ready AI agents

Contextual AI launched Agent Composer, an enterprise AI agent and RAG orchestration platform designed to automate complex ...
IEEE

DOCK-G: A RAG based approach for knowledge graphs

Abstract: Knowledge graphs provide a powerful paradigm for representing and querying complex, connected data. DOCK-G combines a LangGraph-based Retrieval-Augmented Generation (RAG) chatbot with ...
Frontiers

KG2ML: Integrating Knowledge Graphs and Positive Unlabeled Learning for Identifying Disease-Associated Genes

The final, formatted version of the article will be published soon. Background Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among ...
GitHub

GraphRAG-Nexus: Knowledge Graph Q&A and RAG Framework

User Query → Strategy Selection → Graph Database → AI Processing → Natural Language Response ↓ ↓ ↓ ↓ ↓ Gradio UI LangChain Agent Neo4j Graph OpenAI GPT Answer Output Key NOTE: Remember to NOT use a ...
Frontiers

A self-correcting Agentic Graph RAG for clinical decision support in hepatology

Introduction: Clinical decision-making in hepatology is currently challenged by the rapid expansion of medical knowledge and the limitations of Large Language Models (LLMs), specifically their ...
IEEE

Zero-shot learning for knowledge graph construction and RAG for question answering

In the context of information explosion, extracting valid information from multi-granular redundant data and realizing intelligent processing of unstructured information are core requirements of ...
GitHub

Graph RAG Visualization Platform

A developer-oriented Graph Retrieval-Augmented Generation (Graph RAG) visualization and parameter tuning platform. This tool combines knowledge graphs with vector retrieval to provide contextual ...
Search Engine Land

Entity-first SEO: How to align content with Google’s Knowledge Graph

For years, SEOs optimized pages around keywords. But Google now understands meaning through entities and how they relate to one another: people, products, concepts, and their topical connections ...