Updating num candidates

Author: ajosh0504

labs/vector-search-lab.ipynb

@@ -435,7 +435,7 @@
     "    query_embedding = <CODE_BLOCK_7>\n",
     "\n",
     "    # Define an aggregation pipeline consisting of a $vectorSearch stage, followed by a $project stage\n",
-    "    # Set the number of candidates to 50 and only return the top 5 documents from the vector search\n",
+    "    # Set the number of candidates to 20 and only return the top 5 documents from the vector search\n",
     "    # Set the `filter` field in the $vectorSearch stage to the value `filter` passed to the function\n",
     "    # In the $project stage, exclude the `_id` field, include these fields: `title`, `cover`, `year`, `pages`, and the `vectorSearchScore`\n",
     "    # NOTE: Use variables defined previously for the `index`, `queryVector` and `path` fields in the $vectorSearch stage\n",
@@ -761,7 +761,7 @@
     "                \"index\": ATLAS_VECTOR_SEARCH_INDEX_NAME,\n",
     "                \"path\": \"embedding\",\n",
     "                \"queryVector\": get_embeddings(user_query, \"text\", \"query\"),\n",
-    "                \"numCandidates\": 50,\n",
+    "                \"numCandidates\": 20,\n",
     "                \"limit\": 10,\n",
     "            }\n",
     "        },\n",

solutions/vector-search-lab.ipynb

@@ -435,7 +435,7 @@
     "    query_embedding = get_embeddings(user_query, mode, \"query\")\n",
     "\n",
     "    # Define an aggregation pipeline consisting of a $vectorSearch stage, followed by a $project stage\n",
-    "    # Set the number of candidates to 50 and only return the top 5 documents from the vector search\n",
+    "    # Set the number of candidates to 20 and only return the top 5 documents from the vector search\n",
     "    # Set the `filter` field in the $vectorSearch stage to the value `filter` passed to the function\n",
     "    # In the $project stage, exclude the `_id` field, include these fields: `title`, `cover`, `year`, `pages`, and the `vectorSearchScore`\n",
     "    # NOTE: Use variables defined previously for the `index`, `queryVector` and `path` fields in the $vectorSearch stage\n",
@@ -445,7 +445,7 @@
     "                \"index\": ATLAS_VECTOR_SEARCH_INDEX_NAME,\n",
     "                \"queryVector\": query_embedding,\n",
     "                \"path\": \"embedding\",\n",
-    "                \"numCandidates\": 50,\n",
+    "                \"numCandidates\": 20,\n",
     "                \"filter\": filter,\n",
     "                \"limit\": 5,\n",
     "            }\n",
@@ -816,7 +816,7 @@
     "                \"index\": ATLAS_VECTOR_SEARCH_INDEX_NAME,\n",
     "                \"path\": \"embedding\",\n",
     "                \"queryVector\": get_embeddings(user_query, \"text\", \"query\"),\n",
-    "                \"numCandidates\": 50,\n",
+    "                \"numCandidates\": 20,\n",
     "                \"limit\": 10,\n",
     "            }\n",
     "        },\n",
@@ -967,7 +967,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "base",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -981,7 +981,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.9.6"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {