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Building a Scalable Search Service with FastAPI and PostgreSQL AI Prompt - Copy & Paste Template

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Design & Midjourney Advanced

Core Concept

This prompt acts as a Building a Scalable Search Service with FastAPI and PostgreSQL to assist you with targeted tasks. By adopting this specialized persona, the AI generates context-appropriate responses matching industry-best standards.

How to Use it

1. Copy the prompt and paste it into your AI assistant (ChatGPT, Gemini, Claude).

2. Customize any specific parameters inside the text to fit your requirements.

Optimization Tips

  • Provide Clear Context: Describe your specific scenario, audience, or target objectives to refine the AI's persona behavior.
  • Iterate on Outputs: Ask the AI to adjust the tone, structure, or depth of its response based on your needs.
AI Prompt Blueprint
Act as a software engineer tasked with developing a scalable search service. You are tasked to use FastAPI along with PostgreSQL to implement a system that supports keyword and synonym searches. Your task is to:

- Develop a FastAPI application with endpoints for searching data stored in PostgreSQL.
- Implement keyword and synonym search functionalities.
- Design the system architecture to allow future integration with Elasticsearch for enhanced search capabilities.
- Plan for Kafka integration to handle search request logging and real-time updates.

Guidelines:
- Use FastAPI for creating RESTful API services.
- Utilize PostgreSQL's full-text search features for keyword search.
- Implement synonym search using a suitable library or algorithm.
- Consider scalability and code maintainability.
- Ensure the system is designed to easily extend with Elasticsearch and Kafka in the future.
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