Overview
AllegroGraph provides the foundational structure for scalable Enterprise Knowledge Graphs for building Neuro-Symbolic AI applications. AllegroGraph is a multi-modal Graph, Vector, and Document database that is fully ACID compliant.
Industry Leading Security - AllegroGraph's security is designed to protect the most sensitive data within the flexible environment of a graph/document database. This innovative feature within AllegroGraph provides the necessary power and flexibility to address high-security data environments such as HIPAA access controls, privacy rules for banks, and security models for policing, intelligence and government. In addition, AllegroGraph Triple Attribute Security is easier to use and provides more expressiveness than security methods in relational databases or property graph databases, while avoiding performance degradation.
Retrieval Augmented Generation (RAG) for LLMs - AllegroGraph 8.0 guides Generative AI content through RAG, feeding LLMs with the 'source of truth.' This innovative approach helps avoid 'hallucinations' by grounding the output in fact-based knowledge. As a result, organizations can confidently apply these insights to critical decision-making processes, secure in the knowledge that the information is both reliable and trustworthy.
Natural Language Queries and Reasoning - The new LLMagic functions within AllegroGraph 8.0 serve as the bridge between human language and machine understanding, offering a dynamic natural language interface for both querying and reasoning processes. Users can now engage with AllegroGraph 8.0 in a manner that closely mirrors human conversation, making AI capabilities accessible to a broader set of users and increasing productivity for current users.
Enterprise Document Deep-insight - New VectorStore capabilities within AllegroGraph 8.0 offer a seamless bridge between enterprise documents and Knowledge Graphs. This unique feature empowers users to access a wealth of knowledge hidden within documents, allowing users to query content that was previously considered 'dark data.' Users gain a comprehensive view of enterprise data, contributing to the business's deeper insights from its proprietary data. One unique feature of AllegroGraph's vector store implementation is that it lives under the same security framework that we apply to the graphs. AllegroGraph's 'triple-attributes' mechanism puts security 'in' the data elements itself. AllegroGraph offers the ability to annotate individual triples or text fragments and thus provides the most granular access method of any Graph-Vector platform.
AI Symbolic Rule Generation - AllegroGraph offers built-in rule-based system capabilities tailored for symbolic reasoning. This unique feature distills complex data into actionable, interpretable rules. AI symbolic rule generation enables predictions or classifications based on data and provides transparent explanations for their decisions by expressing them in symbolic rules, enhancing trust and interpretability in AI systems.
Streamlined Ontology and Taxonomy Creation - LLMagic can streamline the complex and often labor-intensive task of crafting ontologies and taxonomies for any topic. By analyzing diverse data, and identifying patterns, relationships, and semantic connections that underpin the subject matter, LLMagic can quickly generate structured hierarchies and classifications that form the foundation of ontologies and taxonomies. Users can more quickly create ontologies and taxonomies with a reduced need for manual intervention, accelerating the knowledge organization process and enhancing the quality and comprehensiveness of the created structures.
Enhanced Scalability and Performance - AllegroGraph 8.0 includes enhanced FedShard™ capabilities making the management of sharding more straightforward and user-friendly while reducing query response time and improving overall system performance.
New Web Interface - AllegroGraph 8.0 includes a striking redesign of its web interface - AGWebView. This fresh look and feel provides users an enhanced and intuitive way to interact with the platform, while co-existing in parallel with the Classic View.
Advanced Knowledge Graph Visualization - A new version of Franz's industry-leading graph visualization software, Gruff v9, is integrated into AllegroGraph 8.0. Gruff v9 is the only graph visualization tool that illustrates RDF-Star (RDF*) annotations, enabling users to add descriptions to edges in a graph - such as scores, weights, temporal aspects and provenance.
Highlights
- Horizontally distributed Graph, Vector, and Document database for highly scalable Knowledge Graph and Neuro-Symbolic AI Solutions.
- AllegroGraph is 100 percent ACID, supporting Transactions: Commit, Rollback, and Checkpointing along with Multi-Master Replication for high availability requirements.
- AllegroGraph supports SHACL, SPARQL 1.1, RDFS++, OWL2-RL, and Prolog rules and reasoning from numerous client applications as well as visualizations from Graph industry's leading browser - Gruff.
Details
Typical total price
$0.086/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
---|---|---|---|
t2.large | $0.00 | $0.093 | $0.093 |
t3.large | $0.00 | $0.083 | $0.083 |
t3a.large | $0.00 | $0.075 | $0.075 |
m4.large | $0.00 | $0.10 | $0.10 |
m4.xlarge | $0.00 | $0.20 | $0.20 |
m5.large | $0.00 | $0.096 | $0.096 |
m5a.large | $0.00 | $0.086 | $0.086 |
m5n.large | $0.00 | $0.119 | $0.119 |
m5zn.large | $0.00 | $0.165 | $0.165 |
m6i.large | $0.00 | $0.096 | $0.096 |
Additional AWS infrastructure costs
Type | Cost |
---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
Once the instance is running, SSH into it using the username 'ec2-user' and provide your Amazon private key. Run 'cat README' to find the autogenerated password for the AllegroGraph 'admin' account. Visit http://<your-public-ip>:10035 in your browser to access AllegroGraph WebView. Log in as 'admin', using the password you found in the README file. AllegroGraph is now ready to use via browser, command line (via agtool), or various client libraries. Consult the AllegroGraph Quick Start guide at https://franz.com/agraph/support/documentation/current/agraph-quick-start.html#tutorial-dir for examples of how to create a repository and load it with sample data.
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