https://github.com/mujtabacodes/sphera
Knowledgebase Chatbot platform 💡✨
https://github.com/mujtabacodes/sphera
gemini hackathon-project lablabai nodejs prisma react turborepo vercel watsonx watsonx-ai
Last synced: 6 months ago
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Knowledgebase Chatbot platform 💡✨
- Host: GitHub
- URL: https://github.com/mujtabacodes/sphera
- Owner: mujtabacodes
- Created: 2024-08-19T16:58:32.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-26T15:52:29.000Z (about 1 year ago)
- Last Synced: 2025-03-26T02:22:37.289Z (7 months ago)
- Topics: gemini, hackathon-project, lablabai, nodejs, prisma, react, turborepo, vercel, watsonx, watsonx-ai
- Language: TypeScript
- Homepage: https://sphera-app.vercel.app/
- Size: 15.9 MB
- Stars: 2
- Watchers: 1
- Forks: 3
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Sphera
🔋 Knowledgebase Chatbot platform
Sphera addresses enterprises' critical challenge: employees' difficulty accessing accurate and up-to-date company information. It offers a solution through its AI-driven enterprise chatbot, designed to centralize and streamline information access. Leveraging unique vector search technology, Sphera delivers precise, contextually relevant answers in real time. It integrates seamlessly with platforms like intranets, websites, and Telegram, ensuring accessibility wherever employees work. Targeting large enterprises, SMEs, and industry-specific organizations, Sphera enhances internal communication, improves productivity, and supports informed decision-making across teams.
IBM Granite, Multi LLM, React + Tailwind CSS + TypeScript, NodeJS
### Demo Link/ Submission Link
https://lablab.ai/event/ibm-watsonx-challenge/dragons/sphera
## Features
- ⚡️ Turbo Repo
- 🚀 IBM Granite
- ⚛️ React 18
- 💻 Node JS
- 📊 LLM
- ✨ TypeScript
- 💨 Tailwind CSS 3 — Configured with CSS Variables to extend the **primary** color
- 🃏 Prisma ORM
- 📈 Charts
- 📏 ESLint — Find and fix problems in your code, also will **auto sort** your imports
- 💖 Prettier — Format your code consistently
## Getting Started
### 1. Install dependencies
```bash
yarn install
```
### 2. Env variables
Check `.env.example` and add the necessary variables.
### 3. Run the development server
You can start the server using this command:
```bash
yarn dev
```
Open [http://localhost:4000](http://localhost:4000) with your browser to see the result.