ChatDocs - AI-Powered Search for Team Documentation

ChatDocs is an AI-powered search tool for team documentation, enabling efficient retrieval and augmented generation of information using Retrieval-Augmented Generation (RAG).

Overview

This application leverages the power of RAG to perform semantic searches across team documentation. It uses OpenAI for generating embeddings and performing semantic searches.

Technologies Used

• Frontend: React + Vite
• Backend: .NET 9.0
• Vector Database: Azure Cosmos DB
• Embeddings and Semantic Search: OpenAI

Features

• Semantic Search: Perform advanced searches across documentation using AI-generated embeddings.
• Document Upload: Upload documents to be indexed and searched.
• Document Management: List and delete documents from the database.

Getting Started

Prerequisites

• Node.js
• .NET 9.0 SDK
• Azure Cosmos DB account
• OpenAI API key

Installation

1. Clone the repository:

   git clone https://github.com/your-repo/chatdocs.git
   cd chatdocs

2. Install frontend dependencies:

   cd src/chatdocs-ui
   npm install

3. Install backend dependencies:

   cd ../ChatDocsBackEnd
   dotnet restore

Configuration

1. Frontend:

   • Update the .env.local file in chatdocs-ui with your API base URL.

2. Backend:

   • Update the appsettings.json file in ChatDocsBackEnd with your Azure Cosmos DB and OpenAI API credentials.

Running the Application

1. Start the backend:

   cd src/ChatDocsBackEnd
   dotnet run

2. Start the frontend:

   cd ../chatdocs-ui
   npm run dev

License

This project is licensed under the MIT License.