This release focuses on vector "un-databases" - store vectors with NumPy, Torch and even GGUF from llama.cpp!
See below for full details on the new features, improvements and bug fixes.
New Features
- Add GGML ANN (#975)
- Add quantization support to Torch ANN (#971)
- Add support for Safetensors storage to NumPy/Torch ANN backend (#969)
- Add example notebook demonstrating how to access low level vector APIs (#973)
- Add GraphRAG example notebook with wikipedia and gpt-oss (#967)
Improvements
- Update LLM stripthink parameter to support gpt-oss patterns (#966)
- Pin mcpadapt==0.1.16 until upstream issue resolved (#970)
Bug Fixes
- Not possible to load a False ANN setting (#976)