Using PostgreSQL and pgvector as a source or target for CocoIndex.
Build a custom incremental HackerNews connector with CocoIndex's Custom Source API and export to Postgres for semantic search and analytics.
Production-ready upgrades: durable execution, faster incremental processing over large datasets, GPU isolation, and richer native building blocks.
Build unified, incrementally updated semantic + structured search over PostgreSQL data with CocoIndex: read a table, transform with AI and non-AI ops, and write pgvector embeddings back to Postgres.
Learn to use CocoIndex to extract structured data from PDF/Markdown with Ollama's local LLM models. All running on premise without sending data to external APIs.