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November 21, 2023

Neo4j Signs Strategic Collaboration Agreement with AWS to Enhance Results While Addressing AI Hallucinations

SAN MATEO, Calif., Nov. 21, 2023 — Neo4j, one of the world’s leading graph database and analytics companies, announced a multi-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) that enables enterprises to achieve better generative artificial intelligence (AI) outcomes through a unique combination of knowledge graphs and native vector search that reduces generative AI hallucinations while making results more accurate, transparent, and explainable. This helps solve a common problem for developers who need long-term memory for large language models (LLMs) that are grounded in their specific enterprise data and domains.

Neo4j also announced the general availability of Neo4j Aura Professional, the company’s fully managed graph database offering, in AWS Marketplace, enabling a frictionless, fast-start experience for developers on generative AI. AWS Marketplace is a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on AWS.

Neo4j is a leading graph database with native vector search that captures both explicit and implicit relationships and patterns. Neo4j is also used to create knowledge graphs, enabling AI systems to reason, infer, and retrieve relevant information effectively. These capabilities enable Neo4j to serve as an enterprise database for grounding LLMs while serving as long-term memory for more accurate, explainable, and transparent outcomes for LLMs and other generative AI systems.

Neo4j and Amazon Bedrock Reference Architecture

With today’s announcement, Neo4j is releasing a new integration with Amazon Bedrock, a fully managed service that makes foundation models from leading AI companies accessible via an API to build and scale generative AI applications. Neo4j’s native integration with Amazon Bedrock enables the following benefits:

  1. Reduced Hallucinations: Neo4j with Langchain and Amazon Bedrock can now work together using Retrieval Augmented Generation (RAG) to create virtual assistants grounded in enterprise knowledge. This helps customers by reducing hallucinations and providing more accurate, transparent, and explainable results.
  2. Personalized experiences: Neo4j’s context-rich knowledge graphs integration with Amazon Bedrock can invoke a rich ecosystem of foundation models that generate highly personalized text generation and summarization for end users.
  3. Get complete answers during real-time search: Developers can leverage Amazon Bedrock to generate vector embeddings from unstructured data (text, images, and video) and enrich knowledge graphs using Neo4j’s new vector search and store capability. For example, users can search a retail catalog for products explicitly based on ID or category, or implicitly search based on product descriptions or images.
  4. Kickstart a knowledge graph creation: Developers can leverage new generative AI capabilities using Amazon Bedrock to process unstructured data so it becomes structured and load it into a knowledge graph. Once in a knowledge graph, users can extract insights and make real-time decisions based on this knowledge.

Atul Deo, GM for Amazon Bedrock, commented: “At AWS, we remain committed to empowering organizations with a diversity of tools and resources to build generative AI solutions that align with their unique customer experiences, applications, and business requirements. With Neo4j’s graph database and Amazon Bedrock’s integration, we aim to provide customers sophisticated options to deliver more accurate, transparent, and personalized experiences for their end-users in a fully managed manner.”

More information can be found here as well as a demo here. Neo4j solution architects will also be at AWS re:Invent 2023 in Las Vegas, NV, in booth #1304 taking place November 27-30, 2023.

About Neo4j

Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, from fraud detection, customer 360, knowledge graphs, supply chain, personalization, IoT, network management, and more – even as their data grows. Neo4j’s full graph stack delivers powerful native graph storage, data science, advanced analytics, and visualization, with enterprise-grade security controls, scalable architecture, and ACID compliance. Neo4j’s community of data leaders comprises a vibrant, open-source community of more than 250,000 developers, data scientists, and architects across hundreds of Fortune 500 companies, government agencies, and NGOs.


Source: Neo4j

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