[dmezzetti]

That is a great question. txtai is indeed different than most on that list.

It's similar in that it writes data to vector index formats such as Faiss, Hnswlib. It has metadata filtering via SQLite/DuckDB to filter on additional fields.

It's different in that it can use other vector databases for it's file format. And it has significant logic via workflows for data transformation. Then there is the graph component for topic modeling.

So that's where I came up with the term "embeddings database" which I consider a vector database and much more.