Hemant Malik
AI Ecosystem Architect
Hemant AI Ecosystem Architect at Elastic. He works with AI technology providers to forge product integrations with Elastic technologies to supercharge AI Developers' experience when building with Elasticsearch.
Up to 12x Faster Vector Indexing in Elasticsearch with NVIDIA cuVS: GPU-acceleration Chapter 2
Discover how Elasticsearch achieves nearly 12x higher indexing throughput with GPU-accelerated vector indexing and NVIDIA cuVS.
Exploring GPU-accelerated vector search in Elasticsearch with NVIDIA: Chapter I
Powered by NVIDIA cuVS, the collaboration looks to provide developers with GPU-acceleration for vector search in Elasticsearch.
Elasticsearch Open Inference API adds support for Jina AI Embeddings and Rerank Model
Explore how to access Jina AI models using the Elasticsearch Open Inference API.
High Quality RAG with Aryn DocPrep, DocParse and Elasticsearch vector database
Learn how to achieve high-quality RAG with effective data preparation using Aryn.ai DocParse, DocPrep, and Elasticsearch vector database.
Elasticsearch open inference API adds Amazon Bedrock support
Elasticsearch open inference API added Amazon Bedrock support. Here's how to use Amazon Bedrock models via Elasticsearch's open inference API.
Search complex documents using Unstructured.io and Elasticsearch vector database
Learn how to ingest and search complex proprietary documents with Unstructured.io and Elasticsearch for RAG applications.
Elasticsearch delivers performance increase for users running the Elastic Search AI Platform on Arm-based architectures
Benchmarking in preview provides Elasticsearch up to 37% better performance on Azure Cobalt 100 Arm-based VMs.
