Demo of ChatQ&A Core | AI Sample Application | Intel Software

Опубликовано 25 сентября 2025, 13:00

Presents a lightweight, memory-optimized monolithic Retrieval-Augmented Generation pipeline designed for private data-driven Q&A. The ChatQ&A Sample Application is a modular Retrieval Augmented Generation (RAG) pipeline designed to help developers create intelligent chatbots that can answer questions based on enterprise data. This guide will help you set up, run, and modify the ChatQ&A Sample Application on Intel Edge AI systems.

Recommendation: Minimum configuration for memory is 16GB and storage is 64 GB.
Test Environment: Processor: Intel® Core™ Ultra 7 256V, Memory: 16GB, Storage: 1TB

Customer Benefit:
Fast Setup: Helm-based deployment simplifies installation and scaling.
Customizable: Easily tailor models, proxies, and resources via values.yaml.
Secure & Efficient: Network policies and edge-optimized models ensure secure, low-latency performance.
Enterprise-Ready: Seamless integration with existing infrastructure and Hugging Face for model management.

Resources:
Get Started Guide: github.com/open-edge-platform/...
Overview architecture: github.com/open-edge-platform/...
EMT Open-Edge-Platform public: docs.openedgeplatform.intel.co...

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Demo of ChatQ&A Core – AI Sample Application | Intel Software