OpenDeepSearch – An AI search tool that supports deep web search and information retrieval.

What is OpenDeepSearch?

OpenDeepSearch is an open-source deep search tool that enhances search performance by leveraging open-source inference models and reasoning agents. It is specifically optimized for seamless integration with Hugging Face’s SmolAgents, supporting deep web search and information retrieval. OpenDeepSearch consists of two core components:

1. Open Search Tool: Provides high-quality web search results by optimizing retrieval through semantic re-ranking and multi-source integration.
2. Open Reasoning Agent: Responsible for interpreting user queries and invoking tools to complete complex tasks.

OpenDeepSearch supports a variety of models and APIs, making it easy to extend and customize.

The main functions of OpenDeepSearch

• Semantic Search: Provides in-depth search results based on a semantic ranker that understands query semantics.
• Default Mode: Fast and efficient, suitable for simple queries with short response times.
• Professional Mode (Deep Search): More in-depth and accurate, ideal for complex multi-hop queries and questions requiring cross-referencing verification.
• Seamless Integration with AI Agents: Compatible with Hugging Face’s SmolAgents ecosystem, supporting code generation and reasoning tasks.
• Scalability: Supports various models and APIs, allowing users to flexibly configure according to their needs.

The Technical Principles of OpenDeepSearch

• Open Search Tool: Generates multiple semantically related queries to improve the coverage and diversity of search results. Retrieves relevant context from the Search Engine Results Page (SERP) API, performs formatting and processing, and prioritizes reliable sources. Extracts relevant paragraphs from retrieved web pages, filters content using a semantic ranker, and ensures all relevant context is included.
• Open Reasoning Agent: An ODS-based agent (ODS-v1) that utilizes the Chain-of-Thought (CoT) reasoning and ReAct framework, combining thinking, action, and observation steps to solve problems step by step. Supports tool invocation, such as web search, mathematical calculations (via Wolfram Alpha API), and continued reasoning.
• CodeAct-based Agent (ODS-v2): Utilizes Chain-of-Code (CoC) reasoning to solve complex problems by generating and executing code. Supports code generation and execution, making it suitable for tasks requiring precise calculations.
• Plug-and-Play Framework: Allows users to select any foundational LLM (such as DeepSeek-R1 or Llama3.1-70B) and combine it with the ODS framework to achieve optimal performance.

The project address of OpenDeepSearch

• GitHub Repository: https://github.com/sentient-agi/OpenDeepSearch
• Hugging Face Model Hub: https://huggingface.co/papers/2503.20201
• arXiv Technical Paper: https://arxiv.org/pdf/

Application scenarios of OpenDeepSearch

• Complex Problem Solving: Address multi-hop queries and cross-domain questions by breaking them down step by step and integrating the answers.
• Real-time Information Retrieval: Access the latest news, dynamic data (such as weather, flight information), and other real-time updates.
• Education and Research: Support academic research and online learning by finding literature and explaining knowledge.
• Business Analysis: Analyze market trends and competitor information to improve decision-making efficiency.
• Personal Productivity: Quickly look up everyday questions, automate tasks, and save time and effort.