Category: AI

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AI-powered case deflection: build & deploy in minutes

Exploring the AI Assistant Knowledge Base capabilities combined with Playground to create a self-service case deflection platform.

Tomás Murúa

Get set, build: Red Hat OpenShift AI applications powered by Elasticsearch vector database

Learn how to use Elasticsearch with the ‘AI Generation’ Validated Pattern to rapidly deploy secure, GitOps-driven RAG applications on Red Hat OpenShift.

Tom Potoma

Spring AI and Elasticsearch as your vector database

Learn how to build a production-ready RAG app using Spring AI and Elasticsearch and integrate LLMs with your proprietary data using a vector database.

Josh Long

Unstructured data processing with NVIDIA NeMo Retriever, Unstructured, and Elasticsearch

Learn how to build a scalable data pipeline for unstructured documents using NeMo Retriever, Unstructured Platform, and Elasticsearch for RAG applications.

RAG and the value of grounding in Elasticsearch

Learn about RAG, grounding, and how to reduce hallucinations by connecting an LLM to your documents.

Tomás Murúa

RAG without “AG”?

Learn how to leverage semantic search and ELSER to build a visually appealing Q&A experience, without using LLMs.

Gustavo Llermaly

​​Building a RAG workflow using LangGraph and Elasticsearch

Learn how to configure and customize a LangGraph Retrieval Agent Template with Elasticsearch to build a RAG workflow for efficient data retrieval and AI-driven responses.

Neha Saini

Building a multi-agent recruitment search tool with AutoGen and Elasticsearch

Learn how to integrate Microsoft's AutoGen framework with Elasticsearch and build a multi-agent system for semantic search through a practical job matching and candidate data retrieval example.

Jeffrey Rengifo

Using LlamaIndex Workflows with Elasticsearch

Learn how to build a self-filtering Elasticsearch app using LlamaIndex Workflows with an LLM autocorrect loop and interchangeable models.

Jeffrey Rengifo

Using CrewAI tools with Elasticsearch

Learn how to create an Elasticsearch agent with CrewAI for your agent team and perform market research.

Jeffrey Rengifo

Getting started with the Elastic Chatbot RAG app using Vertex AI running on Google Kubernetes Engine

Learn how to configure the Elastic Chatbot RAG app using Vertex AI and run it on Google Kubernetes Engine (GKE).

Jonathan Simon

Using Amazon Nova models in Elasticsearch

Learn how to use Amazon Nova models in Elasticsearch to extract sentiment, authenticity, summaries, and keywords automatically from product reviews in Elasticsearch.

Andre Luiz

Ready to build state of the art search experiences?

Sufficiently advanced search isn’t achieved with the efforts of one. Elasticsearch is powered by data scientists, ML ops, engineers, and many more who are just as passionate about search as you are. Let’s connect and work together to build the magical search experience that will get you the results you want.

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