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

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
How to implement Better Binary Quantization (BBQ) into your use case
Elasticsearch Labs

How to implement Better Binary Quantization (BBQ) into your use case

Explore why you would implement Better Binary Quantization (BBQ) in your use case and how to do it.

Sachin Frayne
Elasticsearch heap size usage and JVM garbage collection
Elasticsearch Labs

Elasticsearch heap size usage and JVM garbage collection

Exploring Elasticsearch heap size usage and JVM garbage collection, including best practices and how to resolve issues when heap memory usage is too high or when JVM performance is not optimal.

Kofi Bartlett
Using LlamaIndex Workflows with Elasticsearch
Elasticsearch Labs

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
Kibana Alerting: Breaking past scalability limits & unlocking 50x scale
Elasticsearch Labs

Kibana Alerting: Breaking past scalability limits & unlocking 50x scale

Kibana Alerting now scales 50x better, handling up to 160,000 rules per minute. Learn how key innovations in the task manager, smarter resource allocation, and performance optimizations have helped break past our limits and enabled significant efficiency gains.

Mike Cote
How to increase primary shard count in Elasticsearch
Elasticsearch Labs

How to increase primary shard count in Elasticsearch

Learn how to increase primary shard count in Elasticsearch using the split and reindex APIs for optimal shard scaling.

Kofi Bartlett
ES|QL, you know, for Search - Introducing scoring and semantic search
Elasticsearch Labs

ES|QL, you know, for Search - Introducing scoring and semantic search

Elasticsearch 8.18 and 9.0 introduce several ES|QL enhancements: scoring, semantic search, expanded configuration for the match function, and a new KQL function.

Ioana Tagirta
Elasticsearch BBQ vs. OpenSearch FAISS: Vector search performance comparison
Elasticsearch Labs

Elasticsearch BBQ vs. OpenSearch FAISS: Vector search performance comparison

A performance comparison between Elasticsearch BBQ and OpenSearch FAISS.

Ugo Sangiorgi
Native joins available in Elasticsearch 8.18
Elasticsearch Labs

Native joins available in Elasticsearch 8.18

Exploring LOOKUP JOIN, a new ES|QL command available in tech preview in Elasticsearch 8.18.

Costin Leau
ES|QL Joins Are Here! Yes, Joins!
Elasticsearch Labs

ES|QL Joins Are Here! Yes, Joins!

Elasticsearch 8.18 includes ES|QL’s LOOKUP JOIN command, our first SQL-style JOIN.

Tyler Perkins
How to migrate data between different versions of Elasticsearch & between clusters
Elasticsearch Labs

How to migrate data between different versions of Elasticsearch & between clusters

Exploring methods for transferring data between Elasticsearch versions and clusters.

Kofi Bartlett
Enhancing relevance with sparse vectors
Elasticsearch Labs

Enhancing relevance with sparse vectors

Learn how to use sparse vectors in Elasticsearch to boost relevance and personalize search results with minimal complexity.

Vincent Bosc