Why does the title mention specifically duckdb and postgres? It sounds like it supports multiple embedded and remote databases, and I don't see anything special in the README specifically about this pairing...
While the title mentions about one combination, the framework is generic to handle data consolidation from - numerous applications which may be using one or more popular embedded databases: SQLite, DuckDB, Apache Derby, H2, HyperSQL and - into a wide range of industry leading databases including PostgreSQL, MySQL, MongoDB, DuckDB and more.
A potential use-case for consolidating data from many duckdbs into a destination PostgreSQL + PGVector would be to build Edge first Gen AI,Rag Search applications using DuckDB's vector storage and search capabilities, while enabling real-time data data + embeddings consolidation from all application instances into a centralized PG + PGVector to readily enable global RAG applications.
A potential use-case for consolidating data from many duckdbs into a destination PostgreSQL + PGVector would be to build Edge first Gen AI,Rag Search applications using DuckDB's vector storage and search capabilities, while enabling real-time data data + embeddings consolidation from all application instances into a centralized PG + PGVector to readily enable global RAG applications.
More details here:
https://www.synclite.io/solutions/gen-ai-search-rag