Fixed link to build docs and corrected ivf_flat_example (#255)

Fixed link to build docs and corrected ivf_flat_example notebook for handles to resources kwarg change.

Authors:
  - Mike McCarty (https://github.com/mmccarty)
  - Corey J. Nolet (https://github.com/cjnolet)

Approvers:
  - Corey J. Nolet (https://github.com/cjnolet)

URL: #255

README.md

@@ -53,7 +53,7 @@ If installing a version that has not yet been released, the `rapidsai` channel c
 mamba install -c conda-forge -c nvidia -c rapidsai-nightly cuvs=24.10
 ```
 
-Please see the [Build and Install Guide](docs/source/build.md) for more information on installing cuVS and building from source.
+Please see the [Build and Install Guide](https://docs.rapids.ai/api/cuvs/stable/build/) for more information on installing cuVS and building from source.
 
 ## Getting Started
 

notebooks/ivf_flat_example.ipynb

@@ -216,7 +216,7 @@
     "search_params = ivf_flat.SearchParams(n_probes=30)\n",
     "\n",
     "# Search 10 nearest neighbors.\n",
-    "distances, indices = ivf_flat.search(search_params, index, cp.asarray(queries[:n_queries,:]), k=10, handle=handle)\n",
+    "distances, indices = ivf_flat.search(search_params, index, cp.asarray(queries[:n_queries,:]), k=10, resources=handle)\n",
     "    \n",
     "# cuVS calls are asynchronous (when handle arg is provided), we need to sync before accessing the results.\n",
     "handle.sync()\n",
@@ -302,7 +302,7 @@
     "            index,\n",
     "            cp.asarray(queries),\n",
     "            k=10,\n",
-    "            handle=handle,\n",
+    "            resources=handle,\n",
     "        )\n",
     "        handle.sync()\n",
     "    \n",
@@ -382,7 +382,7 @@
     "        add_data_on_build=True\n",
     "    )\n",
     "\n",
-    "index = ivf_flat.build(build_params, dataset, handle=handle)"
+    "index = ivf_flat.build(build_params, dataset, resources=handle)"
    ]
   },
   {
@@ -406,7 +406,7 @@
     "search_params = ivf_flat.SearchParams(n_probes=10)\n",
     "\n",
     "# Search 10 nearest neighbors.\n",
-    "distances, indices = ivf_flat.search(search_params, index, cp.asarray(queries[:n_queries,:]), k=10, handle=handle)\n",
+    "distances, indices = ivf_flat.search(search_params, index, cp.asarray(queries[:n_queries,:]), k=10, resources=handle)\n",
     "    \n",
     "handle.sync()\n",
     "distances, neighbors = cp.asnumpy(distances), cp.asnumpy(indices)"
@@ -445,7 +445,7 @@
     "        kmeans_trainset_fraction=0.1, \n",
     "        kmeans_n_iters=20 \n",
     "    ) \n",
-    "index = ivf_flat.build(build_params, dataset, handle=handle)"
+    "index = ivf_flat.build(build_params, dataset, resources=handle)"
    ]
   },
   {
@@ -465,7 +465,7 @@
    "source": [
     "search_params = ivf_flat.SearchParams(n_probes=10)\n",
     "\n",
-    "distances, indices = ivf_flat.search(search_params, index, cp.asarray(queries[:n_queries,:]), k=10, handle=handle)\n",
+    "distances, indices = ivf_flat.search(search_params, index, cp.asarray(queries[:n_queries,:]), k=10, resources=handle)\n",
     "    \n",
     "handle.sync()\n",
     "distances, neighbors = cp.asnumpy(distances), cp.asnumpy(indices)\n",