AI Search API

AI-powered product search API for e-commerce platform using FastAPI, Langchain, and FAISS.

Features

• Natural language product search
• Vector-based similarity search
• Integration with Oracle RDB
• OpenAI-powered embeddings and LLM

Setup

1. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies:

pip install -r requirements.txt

3. Create a .env file based on .env.example and fill in your configuration values.

4. Run the application:

python main.py

The API will be available at http://localhost:8000

API Documentation

Once the server is running, you can access:

• Swagger UI documentation: http://localhost:8000/docs
• ReDoc documentation: http://localhost:8000/redoc

API Endpoints

• GET /: Health check endpoint
• POST /search: Search products using natural language query

Project Structure

.
├── main.py              # FastAPI application
├── requirements.txt     # Project dependencies
├── .env                 # Environment variables (create from .env.example)
└── README.md           # This file

Development

The project uses:

• FastAPI for the web framework
• Langchain for AI/ML pipeline
• FAISS for vector similarity search
• Oracle RDB for product data storage
• OpenAI for embeddings and LLM