Add RAG Landing Page (#1168)

* Add RAG Landing Page

* fix

* fix form, image and links

* fix

* Content update

* shortened file link

* update links

qdrant-landing/content/retrieval-augmented-generation/rag-evaluation-guide-about.md

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+---
+title: How to evaluate a RAG system
+text: This guide will teach you how to evaluate a RAG system for both accuracy and quality.
+subtitle: Stages prone to errors
+listTitle: "You will learn to maintain RAG performance by testing for:"
+list:
+- id: 0
+  text: Search precision
+- id: 1
+  text: Recall
+- id: 2
+  text: Contextual relevance
+- id: 3
+  text: Response accuracy.
+image:
+  src: /img/rag-evaluation-guide/stages.svg
+  alt: Stages
+features:
+- id: 0
+  icon:
+    src: /icons/outline/search-text-blue.svg
+    alt: Search text
+  title: Information retrieval
+  description: This stage involves searching and fetching relevant information from a knowledge base or external sources.
+- id: 1
+  icon:
+    src: /icons/outline/integration-blue.svg
+    alt: Integration
+  title: Information augmentation
+  description: In this stage, the retrieved information is processed and combined with the original query
+- id: 2
+  icon:
+    src: /icons/outline/vectors-blue.svg
+    alt: Vectors
+  title: Generating responses
+  description: Using the augmented information, the language model generates a response to the original query.
+downloadGuide:
+  text: Download the Guide
+  url: "#form"
+sitemapExclude: true
+---

qdrant-landing/content/retrieval-augmented-generation/rag-evaluation-guide-features.md

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+---
+title: "Read Qdrant’s Best Practices in RAG Evaluation guide for a deep dive into:"
+cards:
+- id: 0
+  icon:
+    src: /icons/outline/case-study-blue.svg
+    alt: Case study
+  description: Why RAG evaluation is crucial for your AI's success
+- id: 1
+  icon:
+    src: /icons/outline/similarity-blue.svg
+    alt: Similarity
+  description: Recommended frameworks for comprehensive assessment
+- id: 2
+  icon:
+    src: /icons/outline/bug-blue.svg
+    alt: Bug
+  description: How to identify and solve common RAG performance issues
+- id: 3
+  icon:
+    src: /icons/outline/cloud-connections-blue.svg
+    alt: Cloud connections
+  description: Techniques for working with custom datasets
+- id: 4
+  icon:
+    src: /icons/outline/chart-bar-blue.svg
+    alt: Chart bar
+  description: Essential metrics to monitor during testing
+downloadGuide:
+  text: Download the Guide
+  url: "#form"
+sitemapExclude: true
+---

qdrant-landing/content/retrieval-augmented-generation/rag-evaluation-guide-form.md

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+---
+title: What you will learn
+listTitle: "The guide covers:"
+list:
+- id: 0
+  text: Recommended frameworks for comprehensive RAG assessment
+- id: 1
+  text: How to identify and solve common RAG performance issues
+- id: 2
+  text: Techniques for working with custom datasets
+- id: 3
+  text: Essential metrics to monitor during testing, and more.
+form:
+  title: Download the guide
+  id: download-the-guide-form
+  hubspotFormOptions: '{
+   "region": "eu1",
+    "portalId": "139603372",
+    "formId": "a0975b6c-fad8-43f8-9e9e-c526e710fe90",
+    "submitButtonClass": "button button_contained",
+  }'
+sitemapExclude: true
+---

qdrant-landing/content/retrieval-augmented-generation/rag-evaluation-guide-hero.md

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+---
+label: A Comprehensive Guide
+title: Best Practices in RAG Evaluation
+description: Learn how to assess, calibrate, and optimize your RAG applications for long-term success.
+downloadGuide: 
+  text: Download the Guide
+  url: "#form"
+learnMore:
+  text: Learn More
+  url: /rag/
+image:
+  src: /img/rag-evaluation-guide/rag-evaluation.svg
+  alt: RAG-Evaluation
+sitemapExclude: true
+---

qdrant-landing/content/retrieval-augmented-generation/rag-evaluation-guide-integrations.md

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+---
+title: Why evaluate your RAG application?
+description: The guide will outline both common issues, as well as recommendations to avoid these pitfalls.
+cards:
+- id: 0
+  image:
+    src: /img/rag-evaluation-guide/integrations/maximize-search.svg
+    alt: Maximize search
+  description: Lack of Precision
+- id: 1
+  image:
+    src: /img/rag-evaluation-guide/integrations/enrich-context.svg
+    alt: Enrich context
+  description: Poor recall
+- id: 2
+  image:
+    src: /img/rag-evaluation-guide/integrations/avoid-hallucinations.svg
+    alt: Avoid hallucinations
+  description: “Lost in the middle”
+frameworksTitle: Recommended evaluation frameworks
+frameworksDescription: In the guide, we explore three popular frameworks that can help simplify your evaluation process.
+frameworksCards:
+- id: 0
+  image:
+    src: /img/rag-evaluation-guide/integrations/ragas.svg
+    alt: Ragas logo
+  description: Ragas is an open-source framework for evaluating retrieval augmented generation systems.
+- id: 1
+  image:
+    src: /img/rag-evaluation-guide/integrations/quotient.svg
+    alt: Quotient AI logo
+  description: Quotient AI is a platform that focuses on building and deploying RAG systems.
+- id: 2
+  image:
+    src: /img/rag-evaluation-guide/integrations/arize.svg
+    alt: Arize logo
+  description: Arize Phoenix is a tool designed for monitoring and observability in AI systems, including RAG pipelines.
+sitemapExclude: true
+---

qdrant-landing/content/retrieval-augmented-generation/rag-evaluation-guide-kubernetes-clusters.md

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+---
+title: Learn More
+description: Learn how to test RAG with questions and answers, evaluate RAG pipelines with custom datasets, and visually deconstruct response generation by reading the guide.
+downloadGuide:
+  text: Download the Guide
+  url: "#form"
+image:
+  src: /img/rag-evaluation-guide/kubernetes-clusters.png
+  alt: Qdrant Kubernetes integration
+sitemapExclude: true
+---
+

qdrant-landing/content/retrieval-augmented-generation/rag-evaluation-guide.md

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+---
+title: RAG Evaluation guide
+description: RAG Evaluation guide
+url: rag/rag-evaluation-guide
+build:
+  render: always
+cascade:
+- build:
+    list: local
+    publishResources: false
+    render: never
+---