resolved conflict

Author: codingbandit

11_Prompt_Engineering/README.md

@@ -6,10 +6,28 @@
 - Create a flow that communicates with the deployed Azure OpenAI and Azure Cosmos DB services
 - Implement a web search plugin
 
+## LangChain
 
+[LangChain](https://www.langchain.com/) is an open source framework designed to simplify the creation of applications using large language models (LLMs).
+
+A chain in LangChain is an end-to-end wrapper around multiple individual components executed in a defined order. Chains allow you to go beyond just a single API call to a language model and instead chain together multiple calls in a logical sequence. Chains can perform various natural language processing tasks, such as content generation, summarization, question answering, and more. There are three types of chains in LangChain: LLMChain, Sequential Chain, and Router Chain. Each type has its own structure, functionality, and use cases.
+
+Source: Conversation with Bing, 12/22/2023
+(1) Chaining the Future: An In-depth Dive into LangChain - Comet. https://www.comet.com/site/blog/chaining-the-future-an-in-depth-dive-into-langchain/.
+(2) A Comprehensive Guide to Using Chains in Langchain. https://www.analyticsvidhya.com/blog/2023/10/a-comprehensive-guide-to-using-chains-in-langchain/.
+(3) Intro to Chains in the Langchain & Its Types - Lancer Ninja. https://lancerninja.com/demystifying-chains-in-langchain/.
+(4) Explained: What is LangChain? How to Use LangChain Chains? – EcoAGI. https://ecoagi.ai/articles/langchain-chains-what-is-langchain.
+
+It provides a standard interface for chains, the ability to integrate with external tools and systems, and end-to-end chains for common applications. LangChain can facilitate most use cases for LLMs and natural language processing (NLP), like chatbots, intelligent search, question-answering, summarization services or even virtual agents capable of robotic process automation.
 
-## Lab
 ### Diagram RAG using Azure Cosmos DB for MongoDB vCore as a retriever
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+asdf
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 ### Using Azure Cosmos DB for MongoDB vCore as a retriever
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 ### Sample prompts
 
+asdf