leonardsellem/readwise-vector-db
Turn your Readwise library into a blazing-fast, self-hosted semantic search engine – complete with nightly syncs, vector search API, Prometheus metrics, and a streaming MCP server for LLM clients.
Leverages pgvector for semantic similarity search on PostgreSQL, embedding highlights with OpenAI's API and syncing Readwise data via scheduled CLI commands. Supports dual deployment modes—local Docker with PostgreSQL or serverless (Vercel + Supabase)—with an HTTP SSE-based MCP server for stateless LLM integrations, bypassing TCP limitations in cloud environments.
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Stars
24
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jul 28, 2025
Commits (30d)
0
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