Vector Database vs. Knowledge Graph: Making the Right Choice When Implementing RAG BrandPost By Anand Logani, chief digital officer at EXL Feb 20, 2024 5 mins Artificial Intelligence ...

Welcome to the UltraRepo Graph RAG repository, where we provide AI agents access to massive code, documentation, and data repositories through the power of Knowledge Graphs (KG). Our KGs are generated ...

This application is designed to turn Unstructured data (pdfs,docs,txt,youtube video,web pages,etc.) into a knowledge graph stored in Neo4j. It utilizes the power of Large language models ...

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...

Graph database vendor Neo4j announced today new capabilities for vector search within its graph database. Neo4j’s namesake database technology enables organizations to create a knowledge graph ...

Karger Motwani and Sudan (1998) introduced the notion of a vector coloring of a graph. In particular they show that every k-colorable graph is also vector k-colorable, and that for constant k, graphs ...

Abstract Syntax Tree,Clone Detection,Clone Types,Code Clone Detection,Code Representation,Code Snippets,Code Vector,Data Instances,Deep Approach,Deep Learning Techniques,Deep Learning-based Approaches ...