Browser-local AI code Q&A engine. Chat with your codebase, ensure privacy, and optimize LLM collaboration.
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Updated
Jul 2, 2025 - TypeScript
Browser-local AI code Q&A engine. Chat with your codebase, ensure privacy, and optimize LLM collaboration.
YouTubeGPT • AI Chat with 100+ videos ft. YouTuber Marques Brownlee (@ MKBHD) ⚡️🔴🤖💬
AI chat over the US Constitution 📜 💬 🇺🇸
YouTubeGPT • AI Chat with 100+ videos ft. YouTuber Matt Wolfe (@mreflow) 🐺🟣🤖💬
UC Berkeley CS186 AI Chatbot 🤖 🖥️ 🐻
AI Chat with The ₿itcoin Whitepaper
AI pipeline built with the honc and workers-ai. vector embeddings, web scraping and processing with Cloudflare Workflows (beta)
SoulCare is a mental health app using NLP to analyze social media sentiment, track symptoms, and offer AI-driven support with personalized reports, document uploads, and symptom-based prioritization.
Developed an AI-powered note-taking application using Next.js 14, ChatGPT API, vector embeddings, Pinecone, TailwindCSS, Shadcn UI, and TypeScript.
UC Berkeley EE16B AI Chatbot 🤖 🖥️ 🐻
Semantic search with openai's embeddings stored to pineconedb (vector database)
Build an AI-powered chatbot that is able to access external data to provide the most accurate answer
Intelligent note taking Web App with AI Integration
Memomind is a sleek note-taking app built with React 18, Next.js 14, and TypeScript. It features a chat-based RAG workflow, AI-powered insights with Langchain and Llama3, and secure authentication via Clerk. It uses Tailwind CSS for styling and Shadcn-UI for components.
Turn any PDF, website, or text into a smart chatbot that answers your questions instantly - no more drowning in documents
Vector embeddings with Deno, Drizzle and sqlite
It's (SaaS) platform focused on advanced task and project management. This SaaS solution offers a comprehensive set of features including task tracking, real-time communication through audio and video calls, and a design collaboration tool inspired by Figma. By integrating these functionalities into a single user
Smart URL-based search with Next.js, MongoDB, autocomplete, vector embeddings, OpenAI, fuzzy matching, and RAG integration.
AI chat with Tim Ferriss or any of his past guests
A RAG based application to get insights on external data like : web URLs, pdf, youtube videos
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