Added spiel on agent creation in the lab for langchain

codingbandit · codingbandit · commit bf130bc7c23f · 2023-12-27T17:41:20.000-05:00
diff --git a/09_LangChain/README.md b/09_LangChain/README.md
@@ -20,4 +20,4 @@ When an incoming message is received, the retriever will vectorize the message a
 
 ## Lab 4 - Vector search and RAG using LangChain
 
-In this lab, you will learn to use LangChain to re-implement the RAG pattern introduced in Lab 3. Take note of the readability of the code and how easy it is to compose a reusable RAG chain using LangChain that queries the products vector index in Azure Cosmos DB MongoDB vCore.
+In this lab, you will learn to use LangChain to re-implement the RAG pattern introduced in Lab 3. Take note of the readability of the code and how easy it is to compose a reusable RAG chain using LangChain that queries the products vector index in Azure Cosmos DB MongoDB vCore. Lab 4 concludes with the creation of an agent with various tools for the LLM to leverage to fulfill the incoming request.

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`@@ -20,4 +20,4 @@ When an incoming message is received, the retriever will vectorize the message a`
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`21`	`21`	`## Lab 4 - Vector search and RAG using LangChain`
`22`	`22`
`23`		`-In this lab, you will learn to use LangChain to re-implement the RAG pattern introduced in Lab 3. Take note of the readability of the code and how easy it is to compose a reusable RAG chain using LangChain that queries the products vector index in Azure Cosmos DB MongoDB vCore.`
	`23`	`+In this lab, you will learn to use LangChain to re-implement the RAG pattern introduced in Lab 3. Take note of the readability of the code and how easy it is to compose a reusable RAG chain using LangChain that queries the products vector index in Azure Cosmos DB MongoDB vCore. Lab 4 concludes with the creation of an agent with various tools for the LLM to leverage to fulfill the incoming request.`