Search-R1 localized deployment capability
An important feature of Search-R1 is its complete localized search support capabilities , which allows developers to build fully autonomous control of the search inference system . The project not only provides standard search engine API integration (supporting Google, Bing, Brave, etc.), but also includes full local search server functionality.
- Built-in Faiss-gpu 1.8.0 support for local vector retrieval
- Customizable corpus index building process
- Providing a lightweight retrieval service deployment solution with FastAPI+Uvicorn
Developers can interface with private or featured search engines by modifying the retriever_server.py file, and the service provides a standard interface in the form of a RESTful API (http://127.0.0.1:8000/retrieve). This design is particularly suitable for scenarios that require data isolation or domain-specific search.
This answer comes from the articleSearch-R1: A Tool for Reinforcement Learning to Train Large Models for Search and ReasoningThe
