An AI-powered search engine with a generative UI
🤖 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.
🤖 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
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.
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.
Fully local web research and report writing assistant. This repo is a Typescript edition of the Ollama Deep Researcher.
An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google Gemini 2.0 Flash and Chat GPT-4o-mini on the backend for inference.
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.
🔍 AI search engine with self hosted LLMs via Ollama
An intelligent search platform that leverages advanced AI models and APIs to help you search smarter and faster
Nous: A privacy-focused personal knowledge assistant using local LLMs to securely interact with your documents and enhance information retrieval.
Two servers distributed Local Retrieval-Augmented Generation (RAG) Agent Using LangGraph. Adapted for the Russian Language.
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