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README.md

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-[Haystack](https://haystack.deepset.ai/) is an end-to-end NLP framework that enables you to build applications powered by LLMs, Transformer models, vector search and more. Whether you want to perform question answering, answer generation, semantic document search, or build tools that are capable of complex decision making and query resolution, you can use the state-of-the-art NLP models with Haystack to build end-to-end NLP applications solving your use case.
+[Haystack](https://haystack.deepset.ai/) is an end-to-end NLP framework that enables you to build applications powered by LLMs, Transformer models, vector search and more. Whether you want to perform question answering, answer generation, semantic document search, or build tools that are capable of complex decision-making and query resolution, you can use the state-of-the-art NLP models with Haystack to build end-to-end NLP applications solving your use case.
 
 ## Quickstart
 
-Haystack is built around the concept of pipelines. A pipeline is a powerful structure that performs an NLP task. It's made up of components linked together. For example, you can connect a `Retriever` and a `PromptNode` to build a Generative Question Answering pipeline that uses your own data.
+Haystack is built around the concept of pipelines. A pipeline is a powerful structure that performs an NLP task. It's made up of components connected together. For example, you can connect a `Retriever` and a `PromptNode` to build a Generative Question Answering pipeline that uses your own data.
 
 Try out how Haystack answers questions about Game of Thrones using the Retrieval Augmented Generation (RAG) approach 👇