# Web Search

Level-Navi Agent is an open-source general-purpose web search agent framework that can decompose complex problems and progressively search for information on the internet until it answers user questions. By providing the Web24 dataset, covering five major fields: finance, games, sports, movies, and events, it provides a benchmark for evaluating model performance on search tasks. The framework supports zero-shot and few-shot learning, providing an important reference for the application of large language models in the field of Chinese web search agents.

ChatWise is a high-performance AI chat tool supporting mainstream language models like GPT-4, Claude, and Gemini. Emphasizing privacy protection, all data is stored locally, and interaction with LLM providers only occurs when sending requests. Its multimodal interaction feature allows users to chat using various formats, including audio, PDFs, and images. It also supports web search and HTML/React rendering. ChatWise is positioned as an efficient, streamlined, and powerful desktop chat tool, perfect for users needing quick information access and multimodal interaction.

The Exa & Deepseek Chat App is an open-source chat application designed to perform real-time web searches through Exa's API, combined with the Deepseek R1 language model for inference, to offer a more accurate chatting experience. Built with Next.js, TailwindCSS, and TypeScript, and hosted on Vercel, it allows users to access the latest web information during chats and engage in intelligent conversations powered by a robust language model. This application is freely available as open-source, suitable for both developers and business users, and can serve as a foundation for developing chat tools.

Research Rabbit is an AI-based research assistant that can automatically delve into any user-defined topic. It utilizes a large language model (LLM) to generate search queries based on the user’s topic, retrieve web search results, and summarize those results using the LLM. Next, it reflects on the summary with the LLM, identifies knowledge gaps, and generates new search queries to fill those gaps. This process is repeated until the user-defined cycle count is met, ultimately providing a final Markdown summary that includes all utilized sources. The product is fully configured to operate with a local LLM (via Ollama).

Omni Engineer is an integrated console tool enriched with AI capabilities, designed to enhance development workflows. It offers intelligent responses to programming queries, file management, web search, and image processing features. Compared to its predecessor, Claude Engineer, Omni Engineer simplifies operations while providing greater control, making it suitable for those who seek better assistance in their coding tasks.

MindSearch is a multi-agent network search engine framework based on large language models (LLM), with performance akin to Perplexity.ai Pro. Users can easily deploy their own search engines, supporting both proprietary large language models (such as GPT and Claude) and open-source large language models (like InternLM2.5-7b-chat). It features the ability to tackle any real-world problem by utilizing internet knowledge to provide in-depth and comprehensive knowledge base answers; displays detailed solution pathways to improve the credibility and usability of final responses; offers an optimized UI experience with various interface options including React, Gradio, Streamlit, and Terminal; and dynamically constructs graphs that break down user queries into atomic sub-problems within the graph, progressively expanding it based on WebSearcher results.

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