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Elasticsearch data ingestion - What's the best data ingestion tool for the job?
Elasticsearch Labs

Elasticsearch data ingestion - What's the best data ingestion tool for the job?

Discover the different ways you can ingest data in Elasticsearch. Explore data ingestion tools like Logstash, Client APIs and Elastic Native Connectors + the Elastic Connector Framework.

Josh Asres
Building RAG with Llama 3 open-source and Elastic
Elasticsearch Labs

Building RAG with Llama 3 open-source and Elastic

Learn how to build a RAG system with Llama3 open source and Elastic. This blog provides practical examples of RAG using Llama3 as an LLM.

Rishikesh Radhakrishnan
Enhancing recommendations with geo-semantic search in Elasticsearch
Elasticsearch Labs

Enhancing recommendations with geo-semantic search in Elasticsearch

Explore Elasticsearch's hybrid geo-semantic search capabilities and learn how to integrate geographical & semantic search to enhance recommendations.

Lily Adler
RAG pipelines in production: Operationalize your GenAI project
Elasticsearch Labs

RAG pipelines in production: Operationalize your GenAI project

In this blog, we discuss the necessary considerations for running Retrieval Augmented Generation (RAG) pipelines in production.

Tim Brophy
Simplifying data lifecycle management for data streams
Elasticsearch Labs

Simplifying data lifecycle management for data streams

Elasticsearch data streams can now be managed by a data stream property called lifecycle. Learn to set up and update a data stream lifecycle here.

Andrei Dan
Designing for large scale vector search with Elasticsearch
Elasticsearch Labs

Designing for large scale vector search with Elasticsearch

Explore the cost, performance and benchmarking for running large-scale vector search in Elasticsearch, with a focus on high-fidelity dense vector search.

Jim Ferenczi
Intelligent RAG data chunking: Fetch surrounding chunks
Elasticsearch Labs

Intelligent RAG data chunking: Fetch surrounding chunks

Learn about data chunking in RAG and explore fetch surrounding chunking, a pattern in RAG that uses chunking and Elasticsearch to refine LLM responses.

Sunile Manjee
LangChain-Elasticsearch vector database integration and retrievers for RAG
Elasticsearch Labs

LangChain-Elasticsearch vector database integration and retrievers for RAG

Explore the LangChain and Elasticsearch integration and how it enables you to easily build RAG solutions and leverage retrievers.

Max Jakob
Storage wins for time-series data in Elasticsearch
Elasticsearch Labs

Storage wins for time-series data in Elasticsearch

Explore Elasticsearch's storage improvements for time series data and best practices for configuring a TSDS with storage efficiency.

Martijn Van Groningen
Open Crawler released for tech-preview
Elasticsearch Labs

Open Crawler released for tech-preview

The Open Crawler lets users crawl web content and index it into Elasticsearch from wherever they like. Learn about it & how to use it here.

Navarone Feekery
How to set up LocalAI for GPU-powered text embeddings in air-gapped environments
Elasticsearch Labs

How to set up LocalAI for GPU-powered text embeddings in air-gapped environments

With LocalAI, you can compute text embeddings in air-gapped systems. GPU support is available. Here's how to set up LocalAI to compute embeddings for your data.

Valeriy Khakhutskyy
OpenAI function calling with Elasticsearch
Elasticsearch Labs

OpenAI function calling with Elasticsearch

Explore OpenAI's function calling capabilities and learn how to implement dynamic function calls, including fetching data from Elasticsearch, enhancing the model's real-time data access and complex operation handling.

Ashish Tiwari