Chat Question-and-Answer sample application is a foundational Retrieval-Augmented Generation (RAG) pipeline that allows users to ask questions and receive answers, including those based on their own private data corpus.
Compared to the Chat Question-and-Answer implementation, this implementation of Chat Question-and-Answer is optimized for memory footprint as it is built as a single monolithic application with the entire RAG pipeline bundled in a single microservice. This is primarily addressing deployment in configurations that are limited in available memory like Intel® Core™ portfolio (and hence the suffix "Core" in the name).
Below, you'll find links to detailed documentation to help you get started, configure, and deploy the microservice.
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Overview
- Overview: A high-level introduction.
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Getting Started
- Get Started: Step-by-step guide to getting started with the sample application.
- System Requirements: Hardware and software requirements for running the sample application.
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Deployment
- How to Build from Source: Instructions for building from source code.
- How to Deploy with Helm: Guide for deploying using Helm.
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API Reference
- API Reference: Comprehensive reference for the available REST API endpoints.
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Release Notes
- Release Notes: Information on the latest updates, improvements, and bug fixes.