NVIDIA/NeMo-Guardrails v0.5.0

Release v0.5.0

on GitHub

This release adds support for custom embedding search providers (not using Annoy/SentenceTransformers) and support for OpenAI embeddings for the default embedding search provider. This release adds an advanced example for using multiple knowledge bases (i.e., a tabular and regular one). This release also fixes an old issue related to using the generate method inside an async environment (e.g., a notebook) and includes multiple small fixes. Detailed change log below.

Added

• Support for custom configuration data.
• Example for using custom LLM and multiple KBs
• Support for PROMPTS_DIR.
• #101 Support for using OpenAI embeddings models in addition to SentenceTransformers.
• First set of end-to-end QA tests for the example configurations.
• Support for configurable embedding search providers

Changed

• Moved to using nest_asyncio for implementing the blocking API. Fixes #3 and #32.
• Improved event property validation in new_event_dict.
• Refactored imports to allow installing from source without Annoy/SentenceTransformers (would need a custom embedding search provider to work).

Fixed

• Fixed when the init function from config.py is called to allow custom LLM providers to be registered inside.
• #93: Removed redundant hasattr check in nemoguardrails/llm/params.py.
• #91: Fixed how default context variables are initialized.