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Playground: Experiment with RAG applications with Elasticsearch in minutes

Learn about Elastic's Playground and how to use it to experiment with RAG applications using Elasticsearch.

Joe McElroy

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.

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

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

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

Max Jakob

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

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

Geospatial search made simple with LLM and Elasticsearch: Journey through the city

Learn the basics of geospatial search and dive deep into geospatial search augmented by the power of Large Language Model (LLM) technology.

Philipp Kahr

Using NVIDIA NIM with Elasticsearch vector store

Explore how NVIDIA NIM enhances applications with NLP capabilities and learn how to integrate NVIDIA NIM with Elasticsearch.

Alex Salgado

Elasticsearch open inference API adds support for Azure OpenAI embeddings

Elasticsearch open inference API adds support for Azure OpenAI embeddings to be stored in the world's most downloaded vector database.

Mark Hoy

Elasticsearch open inference API adds support for Azure OpenAI chat completions

Azure OpenAI chat completions is available via the Elasticsearch inference API. Learn how to use this feature to answer questions.

Tim Grein

Elasticsearch open inference API adds Azure AI Studio support

Elasticsearch open inference API now supports Azure AI Studio. Learn how to use Azure AI Studio capabilities with Elasticsearch in this blog.

Mark Hoy

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