3.0.0 (Latest)

Release Version	Date
3.0.0	15-May-2024

Overview

Sunbird AI Assistant Packages: Release 3.0.0

We are excited to announce the release of Sunbird AI Assistant packages, version 3.0.0. Users are encouraged to upgrade to the latest version to benefit from enhanced features, improved stability, and comprehensive support.

New Features

It contains the following features

• sakhi-api-service

  • Generalisation of code for integration with various LLMs. Adaptors are available for integrating with OpenAI (GPT4) , Azure OpenAI (GPT4) and Ollama

  • Generalisation of code for integration with various Vector stores/databases. Adaptor is available for integrating with Marqo.

  • Changes to environment variables

Old Variable	New Variable	Comments
MARQO_URL		deprecated with addition of below variables related to VectorDB generalisation.
	VECTOR_STORE_TYPE	Vector database type. Example: 'marqo'
	VECTOR_STORE_ENDPOINT	Vector DB connection URL
	EMBEDDING_MODEL	Sentence Transformer model name. Please note that only sentence transformer models are supported as of now. Example: 'flax-sentence-embeddings/all_datasets_v4_mpnet-base'
	VECTOR_COLLECTION_NAME	Index/Collection name to which data will be stored to
OPENAI_TYPE	LLM_TYPE	Name changed for generalising

While indexing documents to VectorDB, previous command python3 index_documents.py --marqo_url=<MARQO_URL> --index_name=<MARQO_INDEX_NAME> --folder_path=<PATH_TO_INPUT_FILE_DIRECTORY> --fresh_index has been now updated to python3 index_documents.py --folder_path=<PATH_TO_INPUT_FILE_DIRECTORY> --fresh_index

Release Tags: (GitHub Packages)

sakhi-api-service

Bug Fixes

Open/Known Bugs

Breaking Changes

• Renaming / Refactoring the environment variables

Installation

• Installation steps are same as before, one thing to ensure before installation is to check the environment variables as it has undergone refactoring as part of this release.

Build Tags

sakhi-api-service