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[DO NOT MERGE-TEST CHATQNA] #1819

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2 changes: 1 addition & 1 deletion sample-applications/chat-question-and-answer/README.md
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# Chat Question-and-Answer Sample Application

Chat Question-and-Answer sample application is a foundational Retrieval-Augmented Generation (RAG) pipeline that allows users to ask questions and receive answers, including those based on their own private data corpus.
Chat Question-and-Answer sample application is a foundational Retrieval-Augmented Generation (RAG) pipeline that allows users to ask questions and receive answers, including those based on their own private data corpus..

Compared to the [Chat Question-and-Answer Core](https://github.com/open-edge-platform/edge-ai-libraries/blob/main/sample-applications/chat-question-and-answer-core) implementation, this implementation of Chat Question-and-Answer is a modular microservices based approach with each constituent element of the RAG pipeline bundled as an independent microservice. Each constituent element, viz document ingestion, embedding creation, retriver, reranking, llm, are independent microservices which are stitched together in the LangChain application. The flexibility is also reflected in the deployment options as it supports docker compose and HELM based options.

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