txtai provides a unified AI framework centered on an embeddings database that combines vector indexes (sparse and dense), graph networks, and relational databases. This foundation enables semantic/vector search and serves as a knowledge source for LLM applications. The framework supports building retrieval augmented generation pipelines and autonomous agents with language model workflows.