Extract insights from research papers with DocQuify. Upload PDFs and ask questions for quick, accurate answers. 🌐📄 Explore AI-powered document processing today!
-
Updated
Nov 10, 2025 - TypeScript
Extract insights from research papers with DocQuify. Upload PDFs and ask questions for quick, accurate answers. 🌐📄 Explore AI-powered document processing today!
🥥 Coco AI App - Search, Connect, Collaborate, Personal AI Search and Assistant, all in one space.
🥥 Coco AI Server - Search, Connect, Collaborate, AI-powered Enterprise Search, all in one space.
AI-powered file launcher and semantic search assistant. Like Spotlight/Alfred but with advanced AI capabilities for understanding context and meaning. Features local processing, privacy-first design, and seamless integration with your workflow.
Search anything, instantly
AI-powered document querying platform that lets users upload PDFs (like research papers or technical docs) and ask context-based questions using OpenAI and vector search. Features include Google authentication, AWS S3 storage, and Pinecone integration for smart semantic search.
High-performance keyword scanner for text and PDF files with multiprocessing and a modern React UI.
A JavaScript library that brings vector search and RAG to your browser!
A highly efficient, isomorphic, full-featured, multilingual text search engine library, providing full-text search, fuzzy matching, phonetic scoring, document indexing and more, with micro JSON state hydration/dehydration in-browser and server-side.
Add a description, image, and links to the document-search topic page so that developers can more easily learn about it.
To associate your repository with the document-search topic, visit your repo's landing page and select "manage topics."