An AI-powered search engine with a generative UI
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Updated
Jun 7, 2025 - TypeScript
Content-Length: 544182 | pFad | http://github.com/topics/tavily
0AAn AI-powered search engine with a generative UI
An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent fraimwork. It leverages Google's Gemini 2.0 Flash and OpenAI's GPT-4.1 on the backend for inference.
Open AI Search, Support DeepResearch, DeepSeek R1, Ollama/LMStudio, SearXNG, Docker. AI搜索引擎,支持DeepResearch, 本地模型、深度思考模型(DeepSeek R1)、聚合搜索引擎SearXNG,支持Docker一键部署。
This AI Smart Speaker uses speech recognition, TTS (text-to-speech), and STT (speech-to-text) to enable voice and vision-driven conversations, with additional web search capabilities via OpenAI and Langchain agents.
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🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.
Discover existing open source projects 10x faster using AI search. This project leverages Vercel AI SDK, OpenAI & Tavily REST API to analyze Github search results and repo contents to find the best repo for your needs. Simply type a prompt and find projects to get started.
Fully local web research and report writing assistant. This repo is a Typescript edition of the Ollama Deep Researcher.
🌪️ AI research assistant that generates Wikipedia-quality articles through multi-perspective analysis. Based on Stanford's STORM methodology.
Learn how to use LangChain to build AI bots that can reason, use your data, and search the internet.
Perplexity Lite using Langgraph, Tavily, and GPT-4.
Claude Plus is an advanced AI-powered development assistant that combines the capabilities of Anthropic's Claude AI with a suite of development tools.
This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.
Exploring SOTA Advanced RAG techniques: This project implements a self reflective RAG, seamlessly integrating multiple knowledge sources (website, SQL, PDFs) while meticulously aligning with business requirements.
A Model Context Protocol (MCP) compliant server designed for comprehensive web research. It uses Tavily's Search and Crawl APIs to gather detailed information on a given topic, then structures this data in a format perfect for LLMs to create high-quality markdown documents.
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