Transforms your Readwise library into a self-hosted, semantically searchable database for highlights.
Sponsored
This tool empowers users to convert their personal Readwise highlights and reading library into a powerful, self-hosted semantic search engine. It automatically syncs highlights, generates embeddings using services like OpenAI, and stores them in a PostgreSQL database with pgvector. The system provides both a standard HTTP API for vector search and a streaming MCP server, making it accessible for integration with Large Language Models and other applications, all while offering Prometheus metrics for monitoring.
Características Principales
01High-performance vector search HTTP API
02Self-hosted semantic search engine for Readwise highlights
03Automated nightly synchronization of Readwise library
04Streaming MCP server for LLM client integration
050 GitHub stars
06Prometheus metrics for system monitoring
Casos de Uso
01Building a personal knowledge base with semantic search capabilities
02Creating a searchable archive of personal reading and learning material
03Integrating Readwise highlights as a knowledge source for AI assistants or LLMs
