Elastic and OpenAI collaborate to bring frontier intelligence to unstructured enterprise data
Blog post from Elastic
Elastic and OpenAI have announced an expanded collaboration to enhance the integration of OpenAI models with Elasticsearch, aiming to improve the utility of AI agents by bridging the gap between advanced reasoning and unstructured enterprise data. This partnership focuses on creating context-aware AI agents that can retrieve accurate, permission-aware knowledge at scale, improving agentic observability for faster root cause investigations, and enhancing security operations with proactive detection and response capabilities. Elastic provides a robust platform for retrieving and managing unstructured data, combining lexical and vector search with semantic reranking and access controls. The collaboration also supports a more efficient use of tokens, reducing costs while increasing accuracy. Elastic's tools, such as Agent Builder, offer developers the means to build more relevant and efficient AI applications, while security and operations teams benefit from streamlined investigations and improved outcomes. This partnership seeks to deliver real ROI by leveraging the unique knowledge and context of enterprise data, thereby providing developers and security defenders with practical tools and insights for enhanced operational efficiency.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 6 | 5,827 | 1,275 | 245 | -5% |
| Observability | 5 | 3,732 | 711 | 187 | -12% |
| MCP | 2 | 7,621 | 787 | 203 | -1% |
| RAG | 2 | 1,157 | 268 | 95 | +16% |
| Real-time | 2 | 5,522 | 1,291 | 230 | -4% |
| LLM | 1 | 6,942 | 1,215 | 234 | +11% |
| Vector Search | 1 | 1,957 | 402 | 133 | +3% |
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