Readwise Vector DB
Transforms your Readwise library into a self-hosted, semantically searchable database for highlights.
Acerca de
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
- High-performance vector search HTTP API
- Self-hosted semantic search engine for Readwise highlights
- Automated nightly synchronization of Readwise library
- Streaming MCP server for LLM client integration
- 0 GitHub stars
- Prometheus metrics for system monitoring
Casos de Uso
- Building a personal knowledge base with semantic search capabilities
- Creating a searchable archive of personal reading and learning material
- Integrating Readwise highlights as a knowledge source for AI assistants or LLMs