DocsMint - self-hosted AI-native knowledge workspace with semantic search, GraphRAG, REST, CLI, SDK, and MCP.
⚡ Instantly index, deduplicate, and search your code, docs, and web content in a blazing-fast Qdrant vector DB for AI & RAG.
Echoes — AI-Powered Emotional Journal & Memory Assistant
👀 Semantic search over PDF, Markdown, and source code; chunks and indexes files into AI embeddings in a vector database for meaning-based search.
캐릭터의 감정·기억·말투를 유지하는 AI 캐릭터 채팅 서비스
AI-powered movie discovery API that understands natural language queries using vector embeddings and semantic search
Privacy-first AI-powered document search. Upload docs, search semantically with Transformers.js - all client-side, no data leaves your browser.
A production-ready, enterprise-grade Agentic RAG ingestion pipeline built with n8n, Supabase (pgvector), and AI embeddings. Implements event-driven orchestration, hybrid RAG for structured and unstructured data, vector similarity search, and multi-tenant architecture to deliver client-isolated, retrieval-ready knowledge bases.
Self-hosted AI-powered document search system. Upload PDF, DOCX, TXT, and Markdown files, then search them with full-text, semantic, or hybrid search. Supports OpenAI, Ollama, and LM Studio for embeddings. Built with Express, Next.js, PostgreSQL + pgvector.
A production-ready, enterprise-grade Agentic RAG ingestion pipeline built with n8n, Supabase (pgvector), and AI embeddings. Implements event-driven orchestration, hybrid RAG for structured and unstructured data, vector similarity search, and multi-tenant architecture to deliver client-isolated, retrieval-ready knowledge bases.
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