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Elastic Stack 8.x Cookbook

Elastic Stack 8.x Cookbook

By : Huage Chen, Yazid Akadiri
5 (3)
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Elastic Stack 8.x Cookbook

Elastic Stack 8.x Cookbook

5 (3)
By: Huage Chen, Yazid Akadiri

Overview of this book

Learn how to make the most of the Elastic Stack (ELK Stack) products—including Elasticsearch, Kibana, Elastic Agent, and Logstash—to take data reliably and securely from any source, in any format, and then search, analyze, and visualize it in real-time. This cookbook takes a practical approach to unlocking the full potential of Elastic Stack through detailed recipes step by step. Starting with installing and ingesting data using Elastic Agent and Beats, this book guides you through data transformation and enrichment with various Elastic components and explores the latest advancements in search applications, including semantic search and Generative AI. You'll then visualize and explore your data and create dashboards using Kibana. As you progress, you'll advance your skills with machine learning for data science, get to grips with natural language processing, and discover the power of vector search. The book covers Elastic Observability use cases for log, infrastructure, and synthetics monitoring, along with essential strategies for securing the Elastic Stack. Finally, you'll gain expertise in Elastic Stack operations to effectively monitor and manage your system.
Table of Contents (16 chapters)
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Developing question-answering applications with Generative AI

We have explored various vector retrieval techniques throughout this chapter that the Elastic Stack offers to perform semantic searches. In this recipe, we will begin to leverage these building blocks to design a question-answering application. Our journey will involve the integration of four powerful tools:

  • LangChain: This is a versatile library designed to chain language models to external knowledge sources, offering a streamlined approach to building complex language applications
  • Elastic Search Relevance Engine (ESRE): This is known for its vector and hybrid search capabilities, which will enhance the retrieval aspect of our application
  • Ollama: This is a deployment solution that enables the integration of powerful local LLMs, allowing us to incorporate a robust language model into our application
  • Streamlit: This allows for the rapid creation of simple and intuitive user interfaces

Throughout...

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