Created using Colaboratory

notebooks/09-Better_Embedding_Model.ipynb

@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyPOc0CzdBgKoadyg4eV8JWo",
+      "authorship_tag": "ABX9TyMx3DkzJEgLiO/6oTdKzS6v",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -787,8 +787,8 @@
         "import os\n",
         "\n",
         "# Set the \"OPENAI_API_KEY\" in the Python environment. Will be used by OpenAI client later.\n",
-        "os.environ[\"OPENAI_API_KEY\"] = \"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\"\n",
-        "os.environ[\"CO_API_KEY\"] = \"844npZDOg4G9mRqCiIBeJZCrvMuXHdS4lTBYrqoY\""
+        "os.environ[\"OPENAI_API_KEY\"] = \"<YOUR_OPENAI_KEY>\"\n",
+        "os.environ[\"COHERE_API_KEY\"] = \"<YOUR_COHERE_KEY>\""
       ],
       "metadata": {
         "id": "riuXwpSPcvWC"
@@ -1274,7 +1274,7 @@
     {
       "cell_type": "code",
       "source": [
-        "# Create your index\n",
+        "# Load the vector store from the local storage.\n",
         "db = chromadb.PersistentClient(path=\"./mini-llama-articles\")\n",
         "chroma_collection = db.get_or_create_collection(\"mini-llama-articles\")\n",
         "vector_store = ChromaVectorStore(chroma_collection=chroma_collection)"