Brave Search MCP Server is a web search tool developed by Brave Software. It has an index of over 10 billion web pages, supports local search functionality, and can quickly provide users with the information they need. It is suitable for finding real-time, localized businesses and services. This tool emphasizes privacy protection to ensure user information security. The basic plan provides 2000 queries/month, making it convenient for individuals and developers.

Fin-R1 is a large language model designed specifically for the financial field, aimed at enhancing financial reasoning capabilities. Jointly developed by Shanghai University of Finance and Economics and Caiyue Xingchen, it is fine-tuned and reinforced learning based on Qwen2.5-7B-Instruct, possessing efficient financial reasoning capabilities and is suitable for core financial scenarios such as banking and securities. This model is free and open-source, facilitating user adoption and improvement.

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.

Chat2Geo is a web application built on Next.js 15 that provides a ChatGPT-like chat interface for performing remote sensing-based geospatial analysis. It leverages Google Earth Engine to process and analyze various remote sensing datasets in the backend. Users can upload their own vector data, run advanced geospatial queries, and integrate with an AI assistant to complete tasks such as land cover mapping, change detection, and air pollutant monitoring. By combining geospatial analysis with non-geospatial/textual information, this product offers a powerful and practical Knowledge Retrieval Augmented Generation (RAG) workflow. It inherits most of the building blocks of the GRAI 2.0 application developed by GeoRetina and is continuously updated to meet community needs.

Site RAG is a Chrome extension designed to assist users in quickly obtaining answers to questions while browsing the web, using natural language processing technology. It supports querying with the current page content as context and allows the indexing of entire website content into a vector database for subsequent retrieval-enhanced generation (RAG). The product runs entirely in the local browser, ensuring user data security, and supports connection to a locally running Ollama instance for inference. It primarily targets users who need to rapidly extract information from web content, such as developers, researchers, and students. This product is currently offered for free, making it suitable for those seeking immediate assistance while browsing the web.

This product is a full-stack application that leverages LLM (Large Language Models) and LangChain technology, combined with LangGraph, to retrieve and analyze stock data and news. It uses ChromaDB as a vector database to support semantic search and data visualization, providing users with deep insights into the stock market. It is primarily aimed at investors, financial analysts, and data scientists, helping them quickly acquire and analyze stock-related information to support decision-making. The product is currently open-source and free, making it suitable for users who need to efficiently process financial data and news.

node-DeepResearch is a deep research model based on Jina AI technology, focused on finding answers to questions through continuous searching and reading of web pages. It leverages the LLM capabilities provided by Gemini and the web search functionality of Jina Reader to handle complex query tasks and generate answers through multi-step reasoning and information integration. The main advantages of this model lie in its powerful information retrieval and reasoning capabilities, enabling it to address complex questions requiring multi-step answers. It is suitable for scenarios requiring in-depth research and information mining, such as academic research and market analysis. Currently, this model is open-source, and users can obtain the code from GitHub for self-deployment.

PaSa is an advanced academic paper search agent developed by ByteDance, based on large language model (LLM) technology. It can autonomously invoke search tools, read papers, and filter relevant references to obtain comprehensive and accurate results for complex academic queries. This technology is optimized through reinforcement learning, trained using the synthetic dataset AutoScholarQuery, and has shown outstanding performance on the real-world query dataset RealScholarQuery, significantly outperforming traditional search engines and GPT-based methods. The main advantages of PaSa lie in its high recall and precision rates, providing researchers with a more efficient academic search experience.

vdr-2b-multi-v1 is a multilingual embedding model launched by Hugging Face, specifically designed for visual document retrieval. This model encodes document page screenshots into dense vector representations, allowing for the search and query of visually rich multilingual documents without the need for OCR or data extraction processes. Developed based on the MrLight/dse-qwen2-2b-mrl-v1 model, it has been trained on a self-constructed multilingual query-image pair dataset, making it an upgraded version of mcdse-2b-v1 with enhanced performance. The model supports Italian, Spanish, English, French, and German and includes a high-quality open-source multilingual synthetic training dataset with 500,000 samples, characterized by low VRAM usage and fast inference capabilities, demonstrating excellent performance in cross-language retrieval.

Prompt Monitor is an AI search optimization tool that helps businesses enhance brand awareness and sales by monitoring brand exposure in AI recommendations. This tool can track brand exposure on AI platforms, perform competitive analysis, monitor brand mentions, perform sentiment analysis, discover citations, identify AI sources, and track rankings.

AurumTau is an intelligent, context-aware search engine based on advanced AI technology that provides intelligent, context-aware answers. Its main advantages lie in providing accurate and fast answers to help users solve problems.

EasyFin is an AI-driven stock analysis platform that uses advanced artificial intelligence technology and big data analysis to provide users with accurate and comprehensive stock analysis and investment advice. The main advantage of EasyFin lies in quickly analyzing large amounts of data, intelligently recommending investment strategies, providing real-time market dynamics, and helping users make wiser investment decisions. EasyFin is positioned to provide high-quality investment analysis tools for investors, traders, and financial professionals.

Amsflow offers an all-in-one solution for modern investment analysis, leveraging smart tools to accelerate analysis and provide users with unique advantages. The product has rich background and is positioned to offer comprehensive market analysis services.

Opera Neon is an intelligent AI browser that can understand user intentions, assist in completing tasks, and provide intelligent assistance. Its main advantages include automated tasks, understanding intentions and outputting, and collaborating with users. Opera Neon is positioned to provide an intelligent browsing experience and is currently in the beta testing phase.

Morphik is an open-source AI knowledge base that helps users obtain answers from research papers, reports, company files, etc. Its search function is fast and accurate, with outstanding performance in technical field searches. Morphik can connect to any data source and supports perfect searching of complex charts, diagrams, and data tables.

Generated Assets is an AI product that helps users turn their ideas into investable indices. Users can use AI to search for stocks and ETFs, create portfolios, and compare key metrics with the benchmark S&P 500 index. The site is only for educational purposes and does not allow actual investments.

Reimbursable is a website designed to help users easily track medical expenses. It provides a detailed directory of HSA-eligible projects, helping users better manage and track medical costs. Users can quickly find specific project HSA eligibility through the search function.

Unoffended Labs is a shopping experience platform that provides AI recommendation and intelligent search functions. It offers personalized shopping experiences for users by helping them quickly find their favorite items.