This post discusses the integration of DuckDB with Postgres for vector databasing and the use of vector embeddings for digital assets. It highlights the benefits of vector databases and proposes DuckDB as a Vector Database for Retrieval Augmented Generation (RAG) applications.
Table of contents
Vector Databasing with DuckDB on Top of PGVectorVector embeddings of digital assetsVector DatabasesRetrieval Augmented Generation (RAG)Our RAG use casePGVector running within the business applicationDuckDBProof-of-ConceptDirect query PostgresDuckDB as a vector database for RAGConclusion27 Impressions