The framework is generic to handle data consolidation from - numerous applications which may be using one or more popular embedded databases: SQLite, DuckDB, A

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 empower developers 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 https://www.synclite.io/solutions/gen-ai-search-rag https://medium.com/@mahendra.chavan/synclite-bridging-the-gap-between-gen-ai-search-rag-applications-for-edge-and-cloud-0f68b46d16d5 https://medium.com/@mahendra.chavan/synclite-bridging-the-ga...