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...