Update README.md

Author: raold

README.md

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 > Ingest, Embed, and Search Text Semantically using OpenAI Embeddings + Qdrant Vector DB.
 
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 ## 📦 Project Overview
 This API enables ingestion of text data, which is embedded via OpenAI's `text-embedding-3-small` model and stored in Qdrant for semantic search.
 
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 ## 🚀 Features
 - Token-based auth
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 - Automated test suite (pytest)
 - Makefile for dev workflow
 
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 ## ⚙️ Requirements
 - Docker + Docker Compose
 - OpenAI API Key
 - Python 3.10+ (for local dev)
 
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 ## 🏁 Getting Started
 
 See the [full Deployment Instructions](./docs/DEPLOYMENT.md) for detailed setup and configuration steps.
 
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 ## 📁 Project Structure
 
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 ![System Architecture - Dark Theme](docs/system_architecture.png)
 
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 ├── LICENSE
 └── README.md
 ```
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 ## 🔧 Setup
 
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 Qdrant Dashboard:  
 [http://localhost:6333/dashboard](http://localhost:6333/dashboard)
 
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 ## ✅ API Endpoints
 
 - `GET /health` - Health check
 - `POST /ingest` - Ingest a text payload
 - `GET /search?q=text` - Search semantically
 
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 ## 🧪 Testing
 ```bash
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 make lint
 ```
 
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 ## 🛡️ License
 AGPLv3 — Free for use with source-sharing required for derivatives.
 
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 ## 🛠️ Roadmap
 - API Rate Limiting