Based on the provided code snippets, I'll help you write a README.md file for your repository. Here's a draft:
Elara is a state-of-the-art AI support platform that provides businesses with a smart support bot. Users can upload their own knowledge base to train the bot, allowing it to respond to customer inquiries 24/7.
- AI-Powered Support Bot trained on your custom knowledge base
- Document Ingestion from Word (.docx), PDF, and other formats
- Real-Time 24/7 Support to answer queries instantly
- Max Upload Limit: 10MB per document
- Multi-Language Ready (based on input)
- Secure Processing and Storage
- API Access for Developers
- Sign up for an Elara account
- Upload your support documentation (PDF, Word, etc.)
- Wait a few seconds while Elara indexes your content
- Interact with your chatbot or embed it into your platform
- Node.js
- TypeScript
- Express.js
- PostgreSQL
- Drizzle ORM
- LangChain
- Azure OpenAI
src: Source code for the Elara platformllm: Large Language Model (LLM) related codeutils: Utility functions for text sanitization, document parsing, etc.prompts: Chat prompt templates for the support botchains: Runnable sequences for the support bot
db: Database schema and utilitiesconfig: Configuration files for the platform
migrations: Database migration scriptstypes: Type definitions for the platform
Here's the updated section:
To get started with the Elara Support Platform, follow these steps:
- Node.js (version 14 or higher)
- TypeScript (version 4 or higher)
- Docker (for running PostgreSQL database locally)
- Azure OpenAI account (for language model integration)
Clone the Elara Support Platform repository using Git:
git clone https://github.com/your-username/elara-support-platform.gitInstall the required dependencies using npm or yarn:
npm installor
yarn installCreate a .env file in the root of the project and add the following environment variables:
PORT=3000
AZURE_OPENAI_ENDPOINT=https://your-azure-openai-endpoint.com
AZURE_OPENAI_API_KEY=your-azure-openai-api-key
AZURE_OPENAI_EMBEDDING_DEPLOYMENT=your-azure-openai-embedding-deployment
AZURE_OPENAI_DEPLOYMENT=your-azure-openai-deployment
OPENAI_API_VERSION=2022-12-01
DATABASE_URL=postgresql://elara:elara@localhost:5432/elaraReplace the placeholders with your actual Azure OpenAI credentials.
To run the PostgreSQL database locally, use Docker Compose:
docker-compose up -dThis will start the PostgreSQL database in detached mode.
Apply the database migrations to set up the schema:
npx drizzle migrateStart the development server using npm or yarn:
npm run devor
yarn devThe server will start on port 3000, and you can access the Elara Support Platform at http://localhost:3000.
That's it! You should now have the Elara Support Platform up and running with a local PostgreSQL database.
Note: Make sure to stop the Docker container when you're done using the platform:
docker-compose downContributions are welcome! Please submit a pull request with a clear description of the changes.