LangChain Search API

A FastAPI service that performs web searches and provides summarized results using LangChain and OpenAI's GPT model.

Project Structure

langchain-search-api/
├── src/
│   └── main.py         # Main application code
├── .env                # Environment variables (private)
├── requirements.txt    # Project dependencies
└── README.md          # Project documentation

Features

• Web search using DuckDuckGo
• AI-powered summarization using OpenAI's GPT-3.5
• Configurable summary length
• RESTful API interface

Setup

1. Create and activate a virtual environment:

python -m venv venv
.\venv\Scripts\activate  # Windows
source venv/bin/activate # Linux/Mac

2. Install dependencies:

pip install -r requirements.txt

3. Configure environment variables: The .env file should contain your OpenAI API key:

OPENAI_API_KEY=your_openai_api_key_here

Running the Server

Start the server with:

cd src
uvicorn main:app --reload

The server will start at http://localhost:8000

API Endpoints

GET /

• Welcome message and basic information

POST /search

• Performs web search and returns summarized results
• Request body:

{
    "query": "Your search query here",
    "max_words": 150  // optional, defaults to 150
}

• Response:

{
    "summary": "Summarized search results..."
}

Example Usage

import requests

response = requests.post(
    "http://localhost:8000/search",
    json={
        "query": "Latest developments in AI",
        "max_words": 100
    }
)

print(response.json())