Update INSTALL.md to remove some raft references, add missing dependency (facebookresearch#4176)

Summary:
Pull Request resolved: facebookresearch#4176

For issue: facebookresearch#4175

Reproduce on CI by:

1. Update build-pull-request.yml and action.yml to only run `conda install -c pytorch -c nvidia -c rapidsai -c conda-forge faiss-gpu-cuvs`, and also start a tmate session.

2. Log into the host

3. `cd` to ~/miniconda3/bin. Try to import faiss. It fails

```
runner@fv-az802-878:~/miniconda3/bin$ ./python
Python 3.12.8 | packaged by conda-forge | (main, Dec  5 2024, 14:24:40) [GCC 13.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import faiss
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/runner/miniconda3/lib/python3.12/site-packages/faiss/__init__.py", line 17, in <module>
    from .loader import *
  File "/home/runner/miniconda3/lib/python3.12/site-packages/faiss/loader.py", line 149, in <module>
    from .swigfaiss import *
  File "/home/runner/miniconda3/lib/python3.12/site-packages/faiss/swigfaiss.py", line 13, in <module>
    from . import _swigfaiss
ImportError: libnvJitLink.so.12: cannot open shared object file: No such file or directory
>>>
```

Reviewed By: asadoughi

Differential Revision: D69278685

fbshipit-source-id: 44c476c9ab3de5a43edb6da45cbb32a80df90160

Author: Michael Norris

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-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. 
+- faiss-gpu-cuvs [^1] package containing GPU indices provided by [NVIDIA cuVS](https://github.com/rapidsai/cuvs/) version 24.12, is available on Linux (x86-64 only) for CUDA 11.8 and 12.4.
 
 To install the latest stable release:
 
@@ -17,15 +17,15 @@ $ conda install -c pytorch faiss-cpu=1.10.0
 # GPU(+CPU) version
 $ conda install -c pytorch -c nvidia faiss-gpu=1.10.0
 
-# GPU(+CPU) version with NVIDIA RAFT
-$ conda install -c pytorch -c nvidia -c rapidsai -c conda-forge faiss-gpu-raft=1.10.0
+# GPU(+CPU) version with NVIDIA cuVS
+$ conda install -c pytorch -c nvidia -c rapidsai -c conda-forge libnvjitlink faiss-gpu-cuvs=1.10.0
 
 # 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-raft, the rapidsai, conda-forge and nvidia channels are required.
+For faiss-gpu-cuvs, the rapidsai, conda-forge and nvidia channels are required.
 
 Nightly pre-release packages can be installed as follows:
 

conda/faiss-gpu-cuvs/meta.yaml

@@ -76,6 +76,7 @@ outputs:
         - libcublas {{ libcublas_constraints }}
         - libcuvs =24.12
         - cuda-version {{ cuda_constraints }}
+        - libnvjitlink
     test:
       requires:
         - conda-build