---
title: Blog posts tagged "RAG"
description: Canonical makes open source secure, reliable and easy to use, providing
  support for Ubuntu and a portfolio of enterprise-grade technologies. Founded in
  2004, Canonical operates globally with team members in over 80 countries.
url: https://canonical.com/blog/tag/rag
---

# Blog posts tagged "RAG"

#### [Hybrid search and reranking: a deeper look at RAG](https://canonical.com/blog/hybrid-search-and-reranking-a-deeper-look-at-rag)

Many of us are familiar with the retrieval augmented generative AI (RAG) pattern for building agentic AI applications – like digital concierges, frontline support chatbots and agents that can help with basic self-service troubleshooting.  At a high level, the flow for RAG is fairly clear – the user’s prompt is augmented with some relevant

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AI

#### [Building an end-to-end Retrieval- Augmented Generation (RAG) workflow](https://canonical.com/blog/rag-workflow-explained)

In this guide, we will take you through setting up a RAG pipeline. We will utilize open source tools such as Charmed OpenSearch for efficient search retrieval and KServe for machine learning inference, specifically in Azure and Ubuntu environments while leveraging silicons.

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AI

#### [Building optimized LLM chatbots with Canonical and NVIDIA](https://canonical.com/blog/building-optimized-llm-chatbots-with-canonical-and-nvidia)

The landscape of generative AI is rapidly evolving, and building robust, scalable large language model (LLM) applications is becoming a critical need for many organizations. Canonical, in collaboration with NVIDIA, is excited to introduce a reference architecture designed to streamline and optimize the creation of powerful LLM chatbots. T

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AI

#### [Building RAG with enterprise open source AI infrastructure](https://canonical.com/blog/rag-ai-infrastructure)

How to create a robust enterprise AI infrastructure for RAG systems using open source tooling?A highlight on how open source can help

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Data Platform

#### [What is RAG?](https://canonical.com/blog/what-is-rag-explained)

RAG explained: is a technique that enhances generative AI models by utilizing external knowledge sources such as documents and extensive databases.

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AI