259 results for “topic:tavily”
An 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 framework. It leverages Google's Gemini 2.5 Flash and OpenAI's GPT-5.1 on the backend for inference.
Salesforce Enterprise Deep Research
The Tavily Python SDK allows for easy interaction with the Tavily API, offering the full range of our search, extract, crawl, map, and research functionalities directly from your Python programs. Easily integrate smart search, content extraction, and research capabilities into your applications, harnessing Tavily's powerful features.
🤖 An open-source, AI agent-native research canvas application that performs real-time search with HITL (Human in The Loop) capabilities, powered by CopilotKit, Tavily and LangGraph
Code from tutorials presented on the "Code AI with Rok" YouTube channel
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.
🔍 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.
Reference implementation of a RAG-based documentation helper using LangChain, Pinecone, and Tavily..
一个透明的 Tavily API 反向代理:将多个 Tavily API Key(额度/credits)汇聚在一个 Master Key 之后,并提供内置 Web UI 用于管理 Key、用量与请求日志。
Kindly Web Search MCP Server: Web search + robust content retrieval for AI coding tools (Claude Code, Codex, Cursor, GitHub Copilot, Gemini, etc.) and AI agents (Claude Desktop, OpenClaw, etc.). Supports Serper, Tavily, and SearXNG.
Open Source Rabbitholes Ai
AI-powered job matching agent using CoreSpeed's Zypher framework. Analyzes JD-resume fit, finds matching jobs, and provides actionable insights.
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.
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.
Official TypeScript/JavaScript library for Tavily.
An MCP server for Tavily's search API
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.
Zotero AI plugin, research framework, assistant, with MCP, agent capabilities, OCR, table extraction, semantic scholar, and firecrawl/tavily web search
Your intelligent ally for effortless information retrieval and seamless browsing across documents and the web.
🎯 Complete B2B lead generation system combining Apollo.io, Google Search, LinkedIn scraping, and AI qualification. Generate, enrich, and score thousands of leads automatically with n8n, Airtable, and Google Gemini.
Advanced-RAG-LangGraph is a Streamlit-based web application that implements an advanced Retrieval-Augmented Generation (RAG) pipeline using LangGraph, ChromaDB, and Tavily to enable interactive document-based Q&A with enhanced retrieval and error-handling capabilities.
Learn how to use LangChain to build AI bots that can reason, use your data, and search the internet.
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.
Perplexity Lite using Langgraph, Tavily, and GPT-4.
A complete LangGraph multi-agent system demo using SQL tools, Tavily search, MCP Toolbox, and OpenRouter models — with reproducible notebooks and a full supervisor-led agent workflow.
Rushikesh Nimkar's portfolio, accessible at rushikeshnimkar.xyz, is a modern website built with Next.js 15 and TypeScript. It features AI-powered email generation, an interactive chat with an AI version of Rushikesh, dynamic animations, responsive design, dark mode, and showcases his projects and contributions.
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.
Claude Plus is an advanced AI-powered development assistant that combines the capabilities of Anthropic's Claude AI with a suite of development tools.