v0.8.5
Release Notes
This release focuses on embedding model support, and improved token usage tracking.
Embeddding Model
- User can select variety of embedding models to generate vector embeddings for your data. This can be configured from the frontend in Graph Settings > Processing Configuration > Select Embedding Model.
- Supported model providers include OpenAI, Gemini, Amazon Titan, and Sentence Transformers.
- Your selected embedding model is saved to your user profile when
TRACK_USER_USAGEis enabled.
Token usage tracking issues fixed
- Null email in for some users leading to errors of exhausted token limit #1463
- Modular approach to disable token tracking error by env variable
LIMIT_TOKEN_USAGE_PER_USER - Add a team contact option when token limit is exhausted