footbote

INSTALL.md

@@ -6,7 +6,7 @@ pre-release nightly builds.
 
 - The CPU-only faiss-cpu conda package is currently available on Linux (x86-64 and aarch64), OSX (arm64 only), and Windows (x86-64)
 - faiss-gpu, containing both CPU and GPU indices, is available on Linux (x86-64 only) for CUDA 11.4 and 12.1
-- faiss-gpu-cuvs nightly package containing GPU indices provided by [NVIDIA cuVS](https://github.com/rapidsai/cuvs/) 24.12, is available on Linux (x86-64 only) for CUDA 11.8 and 12.4. 
+- faiss-gpu-raft [^1] package containing GPU indices provided by [NVIDIA RAFT](https://github.com/rapidsai/raft/) version 24.06, is available on Linux (x86-64 only) for CUDA 11.8 and 12.4. 
 
 To install the latest stable release:
 
@@ -23,10 +23,11 @@ $ conda install -c pytorch -c nvidia -c rapidsai -c conda-forge faiss-gpu-raft=1
 # GPU(+CPU) version using AMD ROCm not yet available
 ```
 
-For faiss-gpu, the nvidia channel is required for CUDA, which is not
-published in the main anaconda channel.
+For faiss-gpu, the nvidia channel is required for CUDA, which is not published in the main anaconda channel.
 
-For faiss-gpu-cuvs, the rapidsai, conda-forge and nvidia channels are required. The `cuda-version` package is used to identify the CUDA version of the nightly.
+For faiss-gpu-raft, the rapidsai, conda-forge and nvidia channels are required.
+
+[^1] The vector search and clustering algorithms in NVIDIA RAFT have been formally migrated to [NVIDIA cuVS](https://github.com/rapidsai/cuvs). This package is being renamed to `faiss-gpu-cuvs` in the next stable release, which will use these GPU implementations from the pre-compiled `libcuvs=24.12` binary.
 
 Nightly pre-release packages can be installed as follows: