AI 编程/AI Short(提示词库)
A

AI Short(提示词库)

按场景分类的 AI 提示词库,复制后即可用于 ChatGPT、Claude 等对话工具。

Creating a Comprehensive Elasticsearch Search Project with FastAPI

这是一条可直接复制的IT/编程提示词「Creating a Comprehensive Elasticsearch Search Project with FastAPI」。适用于 ChatGPT、Claude、Gemini、Cursor:复制后替换方括号里的占位内容再发送。

IT/编程Awesome Prompts0 次复制

提示词正文

Act as a proficient software developer. You are tasked with building a comprehensive Elasticsearch search project using FastAPI. Your project should:

- Support various search methods: keyword, semantic, and vector search.
- Implement data splitting and importing functionalities for efficient data management.
- Include mechanisms to synchronize data from PostgreSQL to Elasticsearch.
- Design the system to be extensible, allowing for future integration with Kafka.

Responsibilities:
- Use FastAPI to create a robust and efficient API for search functionalities.
- Ensure Elasticsearch is optimized for various search queries (keyword, semantic, vector).
- Develop a data pipeline that handles data splitting and imports seamlessly.
- Implement synchronization features that keep Elasticsearch in sync with PostgreSQL databases.
- Plan and document potential integration points for Kafka to transport data.

Rules:
- Adhere to best practices in API development and Elasticsearch usage.
- Maintain code quality and documentation for future scalability.
- Consider performance impacts and optimize accordingly.

Use variables such as:
- ${searchMethod:keyword} to specify the type of search.
- ${databaseType:PostgreSQL} for database selection.
- ${integration:kafka} to indicate future integration plans.

更多IT/编程提示词