An AI-powered search engine with a generative UI
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Updated
Nov 25, 2024 - TypeScript
An AI-powered search engine with a generative UI
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.
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.
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.
Nous: A privacy-focused personal knowledge assistant using local LLMs to securely interact with your documents and enhance information retrieval.
🩺 Imagine a Conversational AI assistant on your WhatsApp that helps you understand your symptoms and get potential diagnoses & treatment suggestions from reliable sources tailored to your symptoms.
FastAPI application with streaming Langchain agents and Tavily search tool
AI-Enhanced Teaching Assistant: Bridging Instructor Knowledge and Web Intelligence
An AI-powered search engine with a generative UI.
Building an AI agent that continuously updates the latest trend in the AI field following Pub/Sub architecture.
My low-key LLM-friendly wrapper for search engines
The AI Video Insights Assistant is a backend service that uses advanced AI orchestration to analyze YouTube video content and accurately answer user questions. Built on LangChain4j or Spring AI, it leverages embeddings and similarity search for precise responses and includes fallback options for comprehensive coverage.
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