Category: AI
Articles tagged AI
Understanding chunking strategies in Elasticsearch
Learn the fundamentals of document chunking in Elasticsearch, compare different chunking strategies, and discover how your chunking choices impact search quality and relevance.
Building AI Agentic workflows with Elasticsearch
Learn about Agent Builder, a new AI layer in Elasticsearch that provides a framework for building AI agentic workflows, using hybrid search to provide agents with the context they need to reason and act.
Using TwelveLabs’ Marengo video embedding model with Amazon Bedrock and Elasticsearch
Creating a small app to search video embeddings from TwelveLabs' Marengo model.
Hybrid search and semantic reranking with Elasticsearch and GCP
Learn how to build a complete hybrid search application with a semantic reranker using only GCP components and Elasticsearch.
Using LangExtract and Elasticsearch
Learn how to extract structured data from free-form text using LangExtract and store it as fields in Elasticsearch.
RAG with a map: Multimodal + geospatial in Elasticsearch
Combining multimodal RAG capabilities with core Elasticsearch features such as geospatial queries and lexical search.
MCP for intelligent search
Building an intelligent search system by integrating Elastic's intelligent query layer with MCP to enhance the generative efficacy of LLMs.
What is context engineering?
Have you heard of the new term context engineering, but aren't sure what it is? Join us as we explain what it is and how RAG with Elasticsearch can help.
Transforming data interaction: Deploying Elastic’s MCP server on Amazon Bedrock AgentCore Runtime for crafting agentic AI applications
Transform complex database queries into simple conversations by deploying Elastic's search capabilities on Amazon Bedrock AgentCore Runtime platform.
Using ES|QL COMPLETION + an LLM to write a Chuck Norris fact generator in 5 minutes
Discover how to use the ES|QL COMPLETION command to turn your Elasticsearch data into creative output using an LLM in just a few lines of code.
Exploring Vertex AI with Elasticsearch
Discover how to integrate Vertex AI with Elasticsearch to create a RAG application. Follow this tutorial to configure a Gemini model and use it in Kibana's Playground.
