From 49d0bb29efbf86454eb39aeb4ad9e7a4586d9407 Mon Sep 17 00:00:00 2001
From: Yuhong Sun <yuhongsun96@gmail.com>
Date: Thu, 27 Apr 2023 20:25:39 -0700
Subject: [PATCH] Initial README

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+<h2 align="center">
+<a href="https://www.danswer.dev/"> <img width="50%" src="https://github.com/danswer-owners/danswer/blob/fb7ef6879a34c00e7dd4f7d9288ccf0da05ea0c9/TempLogo.png?raw=true)" /></a>
+</h2>
+
+<p align="center">
+<p align="center">The First OpenSource Enterprise QA System</p>
+
+<p align="center">
+<a href="https://join.slack.com/t/danswer/shared_invite/zt-1u5ycen3o-6SJbWfivLWP5LPyp_jftuw" target="_blank">
+    <img src="https://img.shields.io/badge/slack-join-blue.svg?logo=slack" alt="Slack">
+</a>
+<a href="https://github.com/ai-sidekick/sidekick/blob/main/LICENSE" target="_blank">
+    <img src="https://img.shields.io/static/v1?label=license&message=AGPL-3.0&color=blue" alt="License">
+</a>
+</p>
+
+[Danswer](https://danswer.dev/) allows you to ask natural language questions against internal documents and get back reliable answers backed by quotes and references from the source material so that you can always trust what you get back. You can connect to a number of common tools such as Slack, Google Drive, and Confluent, among others.  
+
+
+
+## 💃 Features
+* Direct Question Answering on internal documents
+* Semantic Search with reranking to fetch the most relevant documents
+* Connectors to Google Drive, Slack, Web (through scraping)
+* Filter by source (Slack, Google Drive, etc)
+
+## Upcoming
+* Permissioning for document access managmeent
+* Options for more secure or self hosting generative LLM
+* More connectors and easy way to contribute community connectors
+* Support for other vector DBs (with no particular prioritization: Weaviate, Pinecone, Milvus, Vespa)