SurfSense is an AI-driven research assistant and knowledge management hub designed to help individuals and teams centralize their information and extract value from it quickly. Instead of searching through separate files or tools manually, users can upload documents, link to external sources (like Google Drive, Notion, Slack, GitHub, YouTube, and more), and let the platform index everything into a structured knowledge base that can be queried with natural language.

The platform supports powerful search and Retrieval-Augmented Generation (RAG) techniques that combine semantic and full-text search to generate precise, context-aware answers with cites back to source content. Users can chat with their knowledge base, extract summaries, ask complex questions, and even turn chats into podcasts or multimedia content — all in a collaborative workspace that supports comments, team editing, and real-time collaboration.

SurfSense is highly customizable, capable of integrating with 100+ large language models, and offers both cloud and self-hosted deployment options for privacy-focused teams. It’s ideal for researchers, knowledge workers, academics, product teams, and anyone who needs to gather, analyze, and reuse information from disparate content sources more efficiently.