3.0.0 (Latest)
Last updated
Last updated
| Release Version | Date |
|---|---|
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.
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 |
|---|---|---|
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
Renaming / Refactoring the environment variables
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.
3.0.0
15-May-2024
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