v0.3.0

This release adds support for PGvector Vector DB, speech-in speech-out support using RIVA and RAG observability tooling. This release also adds a dedicated example for RAG pipeline using only models from NVIDIA AI Foundation and one example demonstrating query decomposition. Detailed changes are listed below:

Added

• New dedicated example showcasing Nvidia AI Playground based models using Langchain connectors.
• New example demonstrating query decomposition.
• Support for using PG Vector as a vector database in the developer rag canonical example.
• Support for using Speech-in Speech-out interface in the sample frontend leveraging RIVA Skills.
• New tool showcasing RAG observability support.
• Support for on-prem deployment of TRTLLM based nemotron models.

Changed

• Upgraded Langchain and llamaindex dependencies for all container.
• Restructured README files for better intuitiveness.
• Added provision to plug in multiple examples using a common base class.
• Changed minio service's port to 9010from 9000 in docker based deployment.
• Moved evaluation directory from top level to under tools and created a dedicated compose file.
• Added an experimental directory for plugging in experimental features.
• Modified notebooks to use TRTLLM and Nvidia AI foundation based connectors from langchain.
• Changed ai-playground model engine name to nv-ai-foundation in configurations.

Fixed

• Fixed issue #19