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What is GraphAware?

GraphAware introduces Hume, a cutting-edge platform designed for data analytics and intelligence evaluation, which utilizes graph technology to transform disparate structured and unstructured data into an integrated web, thereby improving insight and decision-making processes. At the heart of Hume’s capabilities are knowledge graphs and graph databases, which enable the smooth ingestion, unification, and visualization of data as interconnected networks of nodes and their relationships, allowing analysts and data scientists to investigate, query, and reveal intricate connections and hidden trends without needing to learn complex query languages. This platform offers a comprehensive view of truth derived from multiple data sources, accelerates the discovery of nuanced relationships and behavioral trends, and supports advanced graph data science methods like node influence analysis, link prediction, community detection, and automated alerts, all enhanced by incorporated machine learning and features from extensive language models. By simplifying the access and examination of varied data sets, Hume not only boosts the efficiency of data exploration but also creates new possibilities for informed strategic decision-making. As a result, organizations can leverage Hume to gain a competitive edge in their analytical pursuits.

What is FalkorDB?

FalkorDB stands out as a remarkably fast, multi-tenant graph database specifically optimized for GraphRAG, delivering precise and relevant AI/ML results while effectively reducing hallucinations and enhancing overall efficiency. Utilizing sparse matrix representations in conjunction with linear algebra, it skillfully manages complex, interconnected datasets in real-time, which not only lowers the incidence of hallucinations but also improves the accuracy of responses generated by large language models. This database supports the OpenCypher query language, augmented by unique features that promote both expressive and efficient querying of graph data. Moreover, it includes integrated vector indexing and full-text search capabilities, enabling detailed search functions and similarity evaluations within a cohesive database environment. FalkorDB's architecture allows for multiple graphs to coexist within a single instance, thereby increasing security and performance for various tenants. Additionally, it ensures high availability through live replication, making certain that data remains consistently accessible, even during peak demand periods. This array of capabilities positions FalkorDB as an effective solution for organizations aiming to handle intricate graph data efficiently and reliably, making it an essential tool for data-driven decision-making.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
ChatGPT
Cognee
DSPy
Docker
Gemini
Gemini Enterprise
Google Cloud Platform
LangChain
Llama
Mem0
Microsoft Azure
Netlify
OpenAI
Vercel

Integrations Supported

Amazon Web Services (AWS)
ChatGPT
Cognee
DSPy
Docker
Gemini
Gemini Enterprise
Google Cloud Platform
LangChain
Llama
Mem0
Microsoft Azure
Netlify
OpenAI
Vercel

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

GraphAware

Date Founded

2013

Company Location

United Kingdom

Company Website

graphaware.com

Company Facts

Organization Name

FalkorDB

Date Founded

2023

Company Location

Israel

Company Website

www.falkordb.com

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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