𝗦𝗜𝗠𝗣𝗟𝗜𝗙𝗬 𝗗𝗢𝗖𝗨𝗠𝗘𝗡𝗧 𝗘𝗠𝗕𝗘𝗗𝗗𝗜𝗡𝗚𝗦 𝗪𝗜𝗧𝗛 𝗣𝗚𝗔𝗜 𝗩𝗘𝗖𝗧𝗢𝗥𝗜𝗭𝗘𝗥: 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝘀 + 𝗔𝗺𝗮𝘇𝗼𝗻 𝗦𝟯

We've expanded pgai Vectorizer to automatically create searchable vector embeddings in Postgres from documents stored in S3 while keeping the original files in place.

PGVECTOR VS QDRANT: You don’t need a specialized vector database for large scale. Postgres is all you need.

You can now load any @hf.co
dataset into PostgreSQL in just 1 line of SQL 🤯

All thanks to the pgai PostgreSQL extension.

Index types for pgvector dense vector types and their pros and cons.

AI doom scenarios often feel a bit off to me—not because they're wrong about AI being risky, but because they imagine the danger as some AGI-built Terminator rising up to enslave humanity. Honestly, the real risks seem a lot more... human.