Learn how to use LLMs to write Elastic Query DSL and query structured data with filters

Problem Statement

Solution

Prompt Design

1. Document Schema

2. Examples

3. Special Cases

4. Leniency and Coverage

Test Procedure

Test 1

Query:

Generated Elastic Query:

Results:

Test 2

Test 3

Discussion

Write Elastic Query DSL to search structured datasets

Automating traditional search with LLMs

How to add an AI summary box along with the search results to enrich your search experience.

Steps

Creating endpoints

Embeddings endpoint

Completion endpoint

Indexing data

Creating the proxy

Creating the component

Updating App.js

Asking questions

Conclusion

Generate AI summaries with Elastic

Adding AI summaries to your site with Elastic

Discover how to use Elasticsearch vector database with AlibabaCloud AI Search, which offers inference, reranking, and embedding capabilities.

Using a base model in AlibabaCloud AI Search platform

Creating an inference API endpoint in Elasticsearch

I. Completion

Step 1: Configure the Completion Service

Step 2: Issue a Completion Request

II. Rerank

Step 1: Configure the Rerank Service

Step 2: Issue a Rerank Request

III. Sparse Embedding

Step 1: Configure the Sparse Embedding Service

Step 2: Issue a Sparse Embedding query

IV. Text Embedding

Step 1: Configure the Text Embedding Service

Step 2: Issue a Text Embedding Request

AI search with Elastic and AlibabaCloud

Use AlibabaCloud AI Search with Elasticsearch vector database

Elasticsearch open Inference API adds support for AlibabaCloud AI Search

Learn how to ingest data into Elasticsearch through Apache Camel with a practical example.

What is Apache Camel?

Apache Camel architecture

Using Elasticsearch and Apache Camel

1. Adding dependencies

2. Configuring and running the Camel Context

3. Configuring Camel routes

Data indexing

Data update

Data deletion

References

Apache Camel is an open-source integration framework that simplifies connecting diverse systems, allowing developers to focus on business logic without worrying about the complexities of system communication.

How to ingest data to Elasticsearch through Apache Camel

Interact with Anthropic's Claude 3.5 Sonnet and other models to generate content and perform question & answering.

Using Anthropic’s messages to answer questions

Elasticsearch open inference API adds support for Anthropic’s Claude

Building a multilingual RAG application using Elastic and Mixtral 8x22B model

Creating embeddings endpoint

Creating Mappings

Retrieving documents

Answering the question

Building multilingual RAG with Elastic and Mistral

Have you struggled to build the Kibana visualizations you need using Lens and TSDB? Learn how to create complex visualizations using Kibana and Vega.

About Kibana and Vega

Why Vega?

Pre-requisites

Basic Anatomy of a Vega Visualization

Example 1: Summary with images

Schema

Data source

Text Elements

Images

Autosizing

Example 2: Radar Chart

Basic chart

Legend

Tooltips

Updating global dashboard state

Debugging tips

Resources

Kibana and Vega: Building advanced visualizations

Building advanced visualizations with Kibana and Vega

Learn how to build an AI conversational search for customer success applications using Elasticsearch and OpenAI.

Introduction

What is a customer success application

What is AI conversational search

Benefits of AI conversational search for a customer success application

Implementation of AI conversational search

High-level architecture

Data collection and preprocessing

Set up Elasticsearch

Set up the data pipeline

Create an application with Next.Js

Elasticsearch & OpenAI: Building AI conversational search

Build AI conversational search for your customer success application with Elasticsearch and OpenAI

Elasticsearch open inference API added Amazon Bedrock support. Here's how to use Amazon Bedrock models via Elasticsearch's open inference API.

Using a base model in Amazon Bedrock

Let’s perform some inference

That was easy. What else can we do?

Limitless possibilities

Using Amazon Bedrock models via Elasticsearch's open inference API

Elasticsearch open inference API adds Amazon Bedrock support

Learn how to use Eland on Elasticsearch Serverless

NLP in Elasticsearch Serverless

Data frames in Eland

Ingesting test data

Connecting to Elasticsearch

Searching data with Eland

Eland on Elasticsearch Serverless: Searching data with Eland

Using Eland on Elasticsearch Serverless

All Articles

Elastic Cloud Serverless

ES|QL

Generative AI

How To

Ingestion

Inside Elastic

Integrations

Lucene

ML Research

Search Analytics

Search Relevance

Vector Database