LlamaIndex is a framework for building context-augmented large language model (LLM) applications. This tutorial walks you through creating a question-answering system using LlamaIndex, Python, and Flask, and exposing it as a REST API. It includes steps for setting up the environment, installing dependencies, defining scripts, writing unit tests, and automating the build and test process using CircleCI.
Table of contents
This tutorial covers:PrerequisitesCreate a new Python projectInstalling the dependenciesDefining the question answering scriptAdding unit tests for the QA scriptDefining a Flask web serverAdding unit tests for the API endpointAutomate testing using CircleCIConclusionSort: