https://github.com/pranay-0512/buddai

BuddAI is your personal assistant that remembers everything across your digital life - from emails and calendar to notes and documents. Think of it as a smart friend who's always ready to help you find exactly what you need from your scattered digital information, all in one simple conversation.
https://github.com/pranay-0512/buddai

go llm personal-knowledge-system rag typescript

Last synced: 3 months ago
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BuddAI is your personal assistant that remembers everything across your digital life - from emails and calendar to notes and documents. Think of it as a smart friend who's always ready to help you find exactly what you need from your scattered digital information, all in one simple conversation.

• Host: GitHub
• URL: https://github.com/pranay-0512/buddai
• Owner: pranay-0512
• Created: 2024-11-02T20:20:55.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-11-10T17:53:10.000Z (6 months ago)
• Last Synced: 2024-12-27T18:16:56.458Z (5 months ago)
• Topics: go, llm, personal-knowledge-system, rag, typescript
• Language: Go
• Homepage:
• Size: 47.9 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# BuddAI 🌐 | Unlock infinite Buddy assistance

**Revolutionize how you access, integrate, and manage your knowledge.** 

BuddAI is your AI buddy. It seamlessly integrates data from various platforms (Gmail, calendar, notes, Notion, Drive, and more) into a single, intelligent knowledge repository.It allows you to query and retrieve meaningful insights across all your platforms from one interface.

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## 🚀 Features

- **Centralized Knowledge Repository**: Access data from Gmail, calendars, notes, Notion, Drive, and more, unified under one search. Also indexes your blogs, websites and files you provide.

- **AI-Powered Querying**: Find relevant information quickly with powerful AI that understands your context. 

- **Multi-Language Tech Stack**: Go for HTTP requests and endpoints, Python for ML/AI tasks, and a robust RabbitMQ-powered queueing system.

  

## 🛠️ Tech Stack

- **Backend**: Golang for HTTP endpoints and backend logic.

- **ML/AI**: Python and advanced libraries for RAG-based retrieval.

- **Data Management**:

  - **RabbitMQ** for queue management.

  - **PostgreSQL** for metadata and user data storage.

  - **Qdrant** as the vector database for knowledge indexing.

  - **OpenAI GPT-4** as the large language model for RAG.

- **Monorepo**: Managed by Turborepo and `pnpm`.

## ✨Contributors