updates

Signed-off-by: Mustafa <[email protected]>

community/rfcs/25-15-01-GenAIExamples-001-Code-Generation-Using-RAG-and-Agents.md

@@ -2,7 +2,12 @@
 
 ## Author(s)
 
-[Mustafa Cetin](https://github.com/MSCetin37)
+[Mustafa Cetin](https://github.com/MSCetin37), 
+[Melanie H. Buehler](https://github.com/mhbuehler),
+[Dina Suehiro Jones](https://github.com/dmsuehir),
+[Pratool Bharti](https://github.com/pbharti0831),
+[Abolfazl Shahbazi](https://github.com/ashahba)
+
 
 ## Objective
 
@@ -31,7 +36,7 @@ A software engineer is tasked with optimizing a software application to run effi
 A research scientist is working on a confidential and experimental software project that requires highly specialized optimizations. By submitting a code optimization request, the scientist leverages the Vector Database Microservice to retrieve relevant information from a secure and confidential repository. The Agent Microservice ensures that only the most relevant and secure context is used, and the RAG Microservice generates code that adhere to the project's confidentiality and experimental requirements. The scientist reviews and applies these optimizations, resulting in a high-quality, optimized implementation that meets the project's unique needs while maintaining confidentiality.
 
 
-These use-case stories illustrate how the integration of RAG and Agents can enhance various aspects of the code generations process, including performance improvement, adherence to coding standards, efficient feature development, hardware-specific optimization, and optimization for confidential/experimental implementations.
+These use-case stories illustrate how the integration of RAG and Agents can enhance various aspects of the code generation process, including performance improvement, adherence to coding standards, efficient feature development, hardware-specific optimization, and optimization for confidential/experimental implementations.
 
 
 ## Benefits of Using RAG for Code Generation
@@ -44,7 +49,7 @@ Using Retrieval-Augmented Generation (RAG) for code generation offers several ad
 
 **Improved Code Quality**: By leveraging a large corpus of high-quality code examples and best practices, RAG can suggest code generations that improve the overall quality of your code. This includes enhancements in performance, readability, maintainability, and adherence to coding standards.
 
-**Time Efficiency**: RAG can quickly retrieve and generate code, saving you valuable time that would otherwise be spent searching for relevant information and manually generating code. This allows you to focus on more critical aspects of your development process.
+**Time Efficiency**: RAG can quickly retrieve and generate code, saving you valuable time that would otherwise be spent searching for relevant information and manually writing code. This allows you to focus on more critical aspects of your development process.
 
 **Scalability**: RAG can handle large-scale codebases and complex projects, making it suitable for both small and large development teams. It can provide consistent and reliable code generation across different parts of your project, ensuring uniformity and coherence.
 
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 * Phase 3:
    - Implement/Integrate MegaService Items 
       - Integrate Agents MicroService
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