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.

Elastic, Dell, and NVIDIA team up to power AI-driven media workflows with fast, flexible search across unstructured data — accelerating creativity with the Dell AI Data Platform and the Elasticsearch vector database.

Elasticsearch 9.0 and 8.18 deliver a generally available and faster version of Elasticsearch. This version outperforms OpenSearch with a 5x improvement.

Elasticsearch 8.16 introduces Better Binary Quantization (BBQ), generally available reciprocal rank fusion (RRF) and retrievers for a production-ready hybrid conversational search, and a suite of tools to streamline your workflows.

With Elastic Search 8.14, vector search is faster and more cost-effective. Key components for semantic and contextual searches are now seamlessly integrated into Elasticsearch APIs. We introduce more robust tooling enhancements.

Elastic Search 8.13 delivers speed improvements for vector search with Apache Lucene 9.10. LTR brings the power of reranking. Bringing in data through connectors is now simpler with improved synchronization options and an expanded connector catalog.