Postgresql Documentation Ingestion Pipeline

via “postgresql-documentation-ingestion-pipeline”

MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code.

Unique: Implements a multi-source, multi-version documentation ingestion pipeline that handles PostgreSQL official docs, Tiger/TimescaleDB docs, and PostGIS docs with source-specific parsing. Generates both semantic embeddings (pgvector) and full-text search indexes (tsvector) in a single pipeline, enabling hybrid search. Automated via CI/CD with schema migrations and incremental update support.

vs others: More comprehensive than manual documentation indexing because it automates parsing, chunking, embedding, and indexing across multiple sources and versions. More flexible than static documentation because it supports automated updates and version-specific filtering. More cost-effective than external documentation search services because it uses in-database indexing.