Elastic and Contextual AI partner to scale the most accurate context engineering platform

Three years into the generative AI (GenAI) revolution, the effectiveness of AI is constrained by a "context gap." Enterprises are rich with data — spread across documents, databases, Slack messages, ERP and CRM tools, and countless other systems — yet largely undecipherable by AI models that lack the expertise and tribal knowledge of employees. Without the right context, AI models struggle with relevance, often producing inaccurate or "hallucinated" responses. Context engineering is about solving a fundamental problem: providing the right information at the right time and in the right format to empower an AI agent to perform complex, use case specific tasks.

Today, we’re thrilled to announce that Contextual AI is joining the Elastic AI Ecosystem — a comprehensive set of AI technologies and tools integrated with the Elasticsearch context engineering platform and vector database. Contextual AI is joining the Elastic AI Ecosystem to make its state-of-the-art models available to developers through the Elasticsearch open inference API. This integration also allows Elasticsearch Serverless to function as a native data store for Contextual AI.

Founded by the pioneers of retrieval augmented generation (RAG), Contextual AI provides a comprehensive context engineering platform for rapidly building AI agents that deliver exceptional accuracy out of the box. The platform extracts enterprise context from messy, unstructured, and complex knowledge to provide actionable intelligence — a crucial step in building AI agents that can truly understand and reason over domain-specific data. Developers seeking more control and flexibility can also access individual models for document parsing, reranking, grounded generation, and large language model (LLM) evaluation to improve their existing RAG systems. 

The partnership creates a seamless workflow that combines Contextual AI’s contextual RAG agent to intelligently orchestrate and fine-tune retrieval from a massive, multimodal knowledge base powered by Elastic. This joint solution empowers developers to:

• Achieve unprecedented accuracy: By using Contextual AI's context engineering platform and Elastic's hybrid search, agents can retrieve and reason over even the most complex enterprise data, including financial reports, legal documents, and engineering specifications. This ensures that responses are not only relevant but also fully grounded in a company’s own knowledge base.

• Accelerate time-to-production: The combined platform eliminates the need to stitch together a patchwork of disparate technologies, streamlining the process for a seamless workflow. Developers can use a unified system to build, evaluate, and deploy specialized AI agents more efficiently than ever before.
• Scale with confidence: Both Contextual AI and Elastic are built for the enterprise, offering flexible deployment options,  robust security controls, and role-based access control (RBAC). This ensures that even the most regulated industries, such as financial services and healthcare, can deploy powerful, context-aware AI solutions.
• Enhance the full developer lifecycle: From data ingestion and parsing with Contextual AI's pipeline to search and retrieval with Elastic’s vector database, this partnership provides a complete, end-to-end solution for the modern AI developer. This includes the ability to monitor and troubleshoot AI applications, ensuring they operate at peak performance.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

In this blog post, we may have used or referred to third party generative AI tools, which are owned and operated by their respective owners. Elastic does not have any control over the third party tools and we have no responsibility or liability for their content, operation or use, nor for any loss or damage that may arise from your use of such tools. Please exercise caution when using AI tools with personal, sensitive or confidential information. Any data you submit may be used for AI training or other purposes. There is no guarantee that information you provide will be kept secure or confidential. You should familiarize yourself with the privacy practices and terms of use of any generative AI tools prior to use. 

Elastic, Elasticsearch, and associated marks are trademarks, logos or registered trademarks of Elasticsearch B.V. in the United States and other countries. All other company and product names are trademarks, logos or registered trademarks of their respective owners.