Merge pull request #41 from FullStackWithLawrence/next

docs: fixup description

Author: lpm0073

README.md

@@ -10,7 +10,7 @@
 
 # OpenAI Embeddings Example
 
-A Hybrid Search and Augmented Generation prompting solution using Python [OpenAI](https://openai.com/) API embeddings sourced from [Pinecone](https://docs.pinecone.io/docs/python-client) vector database indexes and managed by [LangChain](https://www.langchain.com/). Implements the following:
+A Hybrid Search and Augmented Generation prompting solution using Python [OpenAI API Embeddings](https://platform.openai.com/docs/guides/embeddings) persisted to a [Pinecone](https://docs.pinecone.io/docs/python-client) vector database index and managed by [LangChain](https://www.langchain.com/). Implements the following:
 
 - **PDF Loader**. a command-line pdf loader program that extracts text, vectorizes, and
   loads into a Pinecone dot product vector database that is dimensioned to match OpenAI embeddings.
@@ -58,7 +58,7 @@ python3 -m models.examples.rag "What analytics and accounting courses does Whart
 
 ### Retrieval Augmented Generation
 
-For the question, _"What analytics and accounting courses does Wharton offer?"_ , an
+For the question, _"What analytics and accounting courses does Wharton offer?"_, an
 embedding can potentially dramatically alter the response generated by chatGPT. To illustrate, I uploaded a batch of 21 sets of lecture notes in PDF format for an online analytics course taught by Wharton professor [Brian Bushee](https://accounting.wharton.upenn.edu/profile/bushee/). You can download these from https://cdn.lawrencemcdaniel.com/fswl/openai-embeddings-data.zip to test whether your results are consistent.
 
 #### The control set