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features
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support

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Description

*GraphDB allows the creation of large knowledge graphs by linking diverse data and indexing it for semantic search. * GraphDB is a robust and efficient graph database that supports RDF and SPARQL. The GraphDB database supports a highly accessible replication cluster. This has been demonstrated in a variety of enterprise use cases that required resilience for data loading and query answering. Visit the GraphDB product page for a quick overview and a link to download the latest releases. GraphDB uses RDF4J to store and query data. It also supports a wide range of query languages (e.g. SPARQL and SeRQL), and RDF syntaxes such as RDF/XML and Turtle.

Description

Your organization's knowledge is scattered across various formats such as PDFs, spreadsheets, wikis, and ERP exports. Traditional retrieval augmented generation (RAG) techniques can only extract the top-K similar snippets, which is adequate for brief summaries but inadequate when precise and comprehensive answers are required. Vedana adopts a structure-first methodology, allowing you to define your domain through anchors, attributes, and connections. It systematically ingests your data into a categorized knowledge graph, enabling AI agents to investigate it incrementally: performing graph queries, vector searches, and compiling answers from actual data. In this setup, the language model interprets the information while the data remains the authoritative source. The advantages you gain include: - Precise figures: obtaining specific prices, dates, and statuses directly from the graph - Comprehensive outcomes: guaranteeing that all relevant records are included without omissions - Multi-step reasoning: connecting product information to categories, regulations, and documents seamlessly - Traceability: ensuring that every answer is linked back to specific nodes, edges, and data segments - Consistency: delivering the same results with identical queries and processes Additionally, the system comes with built-in evaluation using gold-standard datasets and is compatible with any language model. It can be deployed as open-core, managed cloud, or on-premises solutions, with pilot implementations available in just four weeks. This approach not only enhances accuracy but also fosters a deep understanding of the interconnected data landscape.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Azure Marketplace Yes 
Gate Yes 
Hackolade Yes 
MongoDB Yes 
SolrCommerce Yes 

Integrations

Azure Marketplace No 
Gate No 
Hackolade No 
MongoDB No 
SolrCommerce No 

Pricing Details

Free, Standard and Enterprise versions available
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Ontotext

Founded

2008

Country

Bulgaria

Website

www.ontotext.com/product/graphdb

Vendor Details

Company Name

Epoch8

Founded

2017

Country

Georgia

Website

e8.team/

Product Features

Big Data

Collaboration Yes 
Data Blends Yes 
Data Cleansing Yes 
Data Mining Yes 
Data Visualization Yes 
Data Warehousing Yes 
High Volume Processing Yes 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Database

Backup and Recovery Yes 
Creation / Development Yes 
Data Migration Yes 
Data Replication Yes 
Data Search Yes 
Data Security Yes 
Database Conversion Yes 
Mobile Access Yes 
Monitoring Yes 
NOSQL Yes 
Performance Analysis Yes 
Queries Yes 
Relational Interface Yes 
Virtualization Yes 

Product Features

Alternatives

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