Minor fixes based on feedback on PR

Author: mturk24

learn/generation/better-rag/Cleanlab_Pinecone_Reliable_Improved_RAG.ipynb

@@ -48,12 +48,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 117,
+   "execution_count": 2,
    "id": "c447c74a",
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install pinecone-client==5.0.1 sentence-transformers==3.0.1 cleanlab-studio==2.2.1"
+    "!pip install pinecone==5.0.1 sentence-transformers==3.0.1 cleanlab-studio==2.2.1"
    ]
   },
   {
@@ -97,7 +97,7 @@
     "id": "iMSW1p7td0yB"
    },
    "source": [
-    "Below is an example of how to set a Python index serverless specification, this allows us to define the cloud provider and region where we want to deploy our index. You can find a list of all [available providers and regions here](https://docs.pinecone.io/docs/projects)."
+    "Below is an example of how to set a Python index serverless specification. This allows us to define the cloud provider and region where we want to deploy our index. You can find a list of all [available providers and regions here](https://docs.pinecone.io/guides/indexes/understanding-indexes)."
    ]
   },
   {
@@ -333,7 +333,7 @@
    "id": "47c191e8",
    "metadata": {},
    "source": [
-    "Let's now use Cleanlab's TLM to do classification and classify the text (tag) into different topics. We will make use of code from [Cleanlab's TLM Zero-Shot Classification Tutorial](https://help.cleanlab.ai/tutorials/zero_shot_classification/) to do this. This includes the two helper functions `parse_category()` and `classify()` that can be found below."
+    "Let's now use Cleanlab's TLM to do classification and classify the text (tag) into different topics. We will make use of code from [Cleanlab's TLM Zero-Shot Classification Tutorial](https://help.cleanlab.ai/tutorials/zero_shot_classification/) to do this. This includes the two helper functions,`parse_category()` and `classify()`, that can be found below."
    ]
   },
   {
@@ -2596,7 +2596,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,