Adding a "What's new?" section in the main README.

README.md

@@ -10,7 +10,13 @@ The Gemini API gives you access to Gemini [models](https://ai.google.dev/models/
 3. [Create](https://aistudio.google.com/app/apikey) an API key.
 4. Use a [quickstart](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Prompting.ipynb) for Python, or call the REST API [using curl](https://github.com/google-gemini/cookbook/blob/main/quickstarts/rest/Prompting_REST.ipynb).
 
+## What's New?
+We're excited to show you our latest additions to the Gemini capabilities. Explore them now and [Google AI Developer Forum](https://discuss.ai.google.dev/).
+* [Code execution](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Code_Execution.ipynb): Solve complex teasks by Generating and runing python code based on plain-text instructions. 
+* [VectorDB](https://github.com/google-gemini/cookbook/blob/main/examples/chromadb/Vectordb_with_chroma.ipynb): Create a vector database and retrieve answers to questions from the database. 
+
 ## Table of contents
+
 Learn about the capabilities of the Gemini API by checking out these quickstart tutorials.
 * [Authentication](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Authentication.ipynb): Start here to learn how you can set up your API key so you can get access to the Gemini API.
 * [Counting Tokens](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Counting_Tokens.ipynb) Tokens are the basic inputs to the Gemini models. Through this notebook, you will gain a better understanding of tokens through an interactive experience.
@@ -21,6 +27,7 @@ Learn about the capabilities of the Gemini API by checking out these quickstart
 * [System Instructions](https://github.com/google-gemini/cookbook/blob/main/quickstarts/System_instructions.ipynb): Give models additional context on how to respond by setting system instructions.
 * [Embeddings](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Embeddings.ipynb): Create high quality and task-specific embeddings.
 * [Tuning](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Tuning.ipynb): Learn how to improve model performance on a specific task through tuning. 
+* [Code execution](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Code_Execution.ipynb): Solve complex teasks by Generating and runing python code based on plain-text instructions. 
 
 You can find lots more in the [quickstarts folder](https://github.com/google-gemini/cookbook/tree/main/quickstarts), and check out the [examples folder](https://github.com/google-gemini/cookbook/tree/main/examples) for fun examples. We're also maintaining an [Awesome Gemini](Awesome_gemini.md) list of all the cool projects the community is building using Gemini. 
 

examples/qdrant/Qdrant_similarity_search.ipynb

@@ -158,6 +158,8 @@
       "outputs": [],
       "source": [
         "from google.colab import userdata\n",
+        "import google.generativeai as genai\n",
+        "\n",
         "GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
         "\n",
         "genai.configure(api_key=GOOGLE_API_KEY)"
@@ -205,8 +207,6 @@
       },
       "outputs": [],
       "source": [
-        "import google.generativeai as genai\n",
-        "\n",
         "from bs4 import BeautifulSoup\n",
         "from qdrant_client import models, QdrantClient\n",
         "from urllib.request import urlopen"