The Big Shift in MCP: Why AI Guides Will Replace API Wrappers
MCP servers need judgment, not just API access. AI Guides embed expert patterns into portable MCP tools, preventing bad engineering decisions at scale.
By Matvey Arye
November 25th, 2025
Tiger Data Engineer
MCP servers need judgment, not just API access. AI Guides embed expert patterns into portable MCP tools, preventing bad engineering decisions at scale.
By Matvey Arye
November 25th, 2025
pg-aiguide teaches AI to write production-ready Postgres code with curated skills, semantic search, and version-aware docs. Open source and free to use.
By Matvey Arye
November 24th, 2025
pg_textsearch brings BM25 ranking to enable hybrid search to Postgres. Build RAG systems with keyword precision and vector semantics in one database.
By Todd J. Green
October 23rd, 2025
Turn AI into a Postgres expert with our MCP server. Get 35 years of best practices, versioned docs, and prompt templates for production-ready schemas.
By Matty Stratton
October 22nd, 2025
Tiger Data experiments with self-describing Postgres using semantic catalogs. Early tests show 27% better SQL generation accuracy when AI agents understand schemas.
By Matvey Arye
August 21st, 2025
By popular demand, pgai Vectorizer is now a Python library and CLI that works with any self-hosted or managed Postgres database. See how we built it.
By Avthar Sewrathan
April 30th, 2025
Looking for an open-source, high-performance vector database for large-scale workloads? We compare Qdrant vs. Postgres + pgvector + pgvectorscale.
By Avthar Sewrathan
April 29th, 2025
While remarkable, proprietary LLMs force devs to give up privacy and control. Read along to learn our picks on the best components for an open-source AI stack.
By Matvey Arye
December 16th, 2024
Today’s vector databases disconnect embeddings from their source data. We should treat embeddings more like database indexes—here’s how.
By Matvey Arye
October 29th, 2024
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