

RAG Search API
Overview :
RAG Search API, developed by thinkany.ai, is an intelligent search API that utilizes RAG (Retrieval-Augmented Generation) technology. It combines retrieval and generation capabilities to deliver efficient and accurate information retrieval for users. The API supports customizable configurations, including search quantity, re-ranking options, and filtering, to meet diverse user needs.
Target Users :
Targeted at developers and enterprise users, especially teams building or optimizing search functionality. This API can be integrated into existing systems to improve search efficiency and accuracy, saving development time and cost.
Use Cases
Enterprises use RAG Search API to optimize internal document search systems, enhancing employee retrieval efficiency.
Developers leverage the API to build personalized search engines, offering customized search services.
Educational institutions integrate the API to provide students with rapid access to academic resources.
Features
Supports multiple search providers, such as Google.
Provides re-ranking functionality using the flashrank algorithm to optimize search results.
Allows users to customize search quantity and level of detail.
Supports setting a minimum score threshold for result filtering.
Allows users to set the level of detail and quantity of returned results.
Provides an API interface for easy integration and use by developers.
How to Use
1. Create a .env file in the project root directory and set the corresponding environment variables.
2. Install the required dependencies.
3. Start the FastAPI server.
4. Send requests to the API, including query content and search parameters.
5. Parse the search results from the returned JSON data.
6. Further process or display the results as needed.
Featured AI Tools
Chinese Picks

360AI Browser
The 360AI Browser is an integrated AI technology browser offering functions such as AI search, AI reading assistant, and AI video assistant. It aims to enhance users' online browsing and information acquisition efficiency through intelligent technology.
AI search engine
431.7K

Kimi Exploration Edition
Kimi Exploration Edition is an advanced deep reasoning AI search feature of Kimi. It interprets and breaks down problems, then searches and infers answers, allowing for thorough reading of 500 pages in a single search. This new feature enables Kimi to think like a human, providing more accurate and practical search results. It can also use mathematical models and programming to tackle complex issues, and engage in self-reflection when needed to optimize answers. In short, the Kimi Exploration Edition makes AI search smarter and closer to human cognitive processes.
AI search engine
410.1K