v8.2.0
neuml/txtaiv8.2.0Jan 9, 2025by davidmezzetti
AI Summary
This release simplifies LLM chat messages, adds attribute filtering to Graph RAG, and enables multi-cpu/gpu vector encoding.
Key Highlights
- Encoding using multiple-GPUs
- Graph RAG - Add extra attributes
- Add defaultrole to LLM pipeline
- Enhanced Docs: LLM Embedding Examples
New Features
- Multi-GPU vector encoding
- Graph RAG attribute filtering
- LLM pipeline default role support
Full Release Notes
**This release simplifies LLM chat messages, adds attribute filtering to Graph RAG and enables multi-cpu/gpu vector encoding** See below for full details on the new features, improvements and bug fixes. New Features -------------------------- - Add defaultrole to LLM pipeline (#841) - Feature Request: Graph RAG - Add extra attributes (#684) - Support graph=True in embeddings config (#848) - Support pulling attribute data in graph.scan (#849) - Encoding using multiple-GPUs (#541) - Add vectors argument to Model2Vec vectors (#846) - Enhanced Docs: LLM Embedding Examples (#843, #844) Thank you @igorlima! Improvements -------------------------- - Pin build script to pillow==10.4.0 (#800) - Ensure generated datetimes are in UTC (#840) - Update RAG notebooks to add clarifying notes on LLM inference (#847)