Added the new tag line
-<h1>Weaviate <img alt='Weaviate logo' src='https://raw.githubusercontent.com/semi-technologies/weaviate/19de0956c69b66c5552447e84d016f4fe29d12c9/docs/assets/weaviate-logo.png' width='52' align='right' /></h1>
+<h1>Weaviate <img alt='Weaviate logo' src='https://raw.githubusercontent.com/semi-technologies/weaviate/19de0956c69b66c5552447e84d016f4fe29d12c9/docs/assets/weaviate-logo.png' width='124' align='right' /></h1>
+
+<h4>The AI-first search engine</h4>
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## Description
-Weaviate is a cloud-native, real-time vector search engine (aka _neural search engine_ or _deep search engine_). There are modules for specific use cases such as semantic search, plugins to integrate Weaviate in any application of your choice, and a [console](https://console.semi.technology/) to visualize your data.
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-_GraphQL - RESTful - vector search engine - vector database - neural search engine - semantic search - HNSW - deep search - machine learning - kNN_
+Weaviate is a low-latency vector search engine with out-of-the-box support for different media types (text, images, etc.). It offers Semantic Search, Question-Answer-Extraction, Classification, and more. Built from scratch in Go, it stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance of a cloud-native database, all accessible through GraphQL, REST and various language clients.
## Features
