To create a knowledge base, we will need ways to import multiple kinds of documents into the vector database. For this we can use loaders and parsers from libraries such as LangChain or LlamaIndex.

At Live! 360 in Orlando this November, data & AI engineer Jean Joseph will demonstrate how to build AI-powered applications with Azure Database for PostgreSQL. His session covers vector search, ...

Timescale debuts open source pgai Vectorizer for AI embeddings as it looks to push vector database beyond RAG.