2.1.1: Intel® AI for Enterprise RAG - patch release
·
5 commits
to main
since this release
Getting Started
To deploy the Intel® AI for Enterprise RAG application, follow the instructions.
Highlights
- Enhanced Reliability of NetApp Trident Integration: Improved installation and cleanup processes for ONTAP deployment, ensuring consistent creation of backup objects and better stability when managing Trident drivers
- New Reverse Proxy Support for File Uploads: Introduced the reverse_proxy_storage option in config.yaml with automation enabling file uploads directly through the web interface with ONTAP deployment.
- TDX Validation Complete for All Enterprise RAG 2.1 Solutions: Validated TDX compatibility for ChatQnA, AudioQnA, and DocSum, with documentation updates included
- Improved Nutanix Documentation: Enhanced clarity and completeness of guidance under docs/nutanix.
- Critical Vulnerabilities Resolved
Publications
- Give Your RAG a Voice: Building an Audio Q&A Experience with Intel® AI for Enterprise RAG
- Accelerate AI Value Creation with Nutanix and Intel® AI for Enterprise RAG
- Converging Paradigms: Architecting a Hybrid and Open Platform for Unified HPC and AI Workloads
- Starting With the End in Mind: Intel and Nutanix’s Blueprint for an Enterprise-Grade RAG Chatbot
Detailed changes
Deployment:
- fixed creation of backup object when installing trident driver
- added tests that verifies if there is connectivity from worker nodes to ONTAP data and managemet lif
- corrected cleanup when removing netapp trident drivers
- added reverse_proxy_storage option in config.yaml and add automation that allows uploading files via web brower
- validated TDX with Enterprise RAG 2.1 for all the solutions (Chatqna, Audioqna, Docsum) and updated the documentation
- improved the documentation in docs/nutanix
- aligned default embedding model server to vllm in a pipeline with external endpoint