Build a RAG app

Search AI 101: Lesson 4 of 4 - Create a retrieval augmented generation (RAG) application using Elastic’s generative AI capabilities. Learn how to set up Elastic to power a RAG system, with the outcome being a fully functioning RAG chatbot application.

  • Ingest data

    Ingest your data into Elasticsearch and transform it into vector embeddings

  • Configure data retrieval

    Build a chatbot with an API and an Elastic data retrieval strategy

  • Construct LLM prompt

    Construct a prompt that includes both the user query and context from documents

  • Deliver and display responses

    Generate responses and get an informative chatbot experience

Try Elastic Search free for 14 days to go deeper and test these capabilities.

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