Readwise Vector DB

Example Use Cases

• 1

  Perform semantic search over personal reading highlights.

• 2

  Real-time streaming search results via HTTP SSE in serverless environments.

• 3

  A self-hosted or cloud-managed vector database integrated with Readwise data.

Description

Readwise Vector DB enables users to sync their Readwise reading highlights into a PostgreSQL database with pgvector support, providing a blazing-fast semantic search API. It supports both local Docker deployments and serverless cloud deployments using Supabase and Vercel, featuring real-time streaming search via Server-Sent Events (SSE) optimized for serverless environments. The system includes nightly syncs, Prometheus metrics, and a streaming MCP server for LLM clients, making it ideal for personal knowledge management and AI-powered search applications.