[dmezzetti]

I'll add txtai to the list: https://github.com/neuml/txtai

txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.

Embeddings databases are a union of vector indexes (sparse and dense), graph networks and relational databases. This enables vector search with SQL, topic modeling and retrieval augmented generation.

txtai adopts a local-first approach. A production-ready instance can be run locally within a single Python instance. It can also scale out when needed.

txtai can use Faiss, Hnswlib or Annoy as it's vector index backend. This is relevant in terms of the ANN-Benchmarks scores.

Disclaimer: I am the author of txtai

[Der_Einzige]

I know David and have used txtai extensively. txtai is awesome and if you care at all about open source, you should give it a shot!

[dmezzetti]

Thank you!

[emilfroberg]

Txtai looks interesting, maybe you could help me collect some of the comparision parameters for it?

[dmezzetti]

Sure, I'd be happy to do so. Easiest way is probably using the public Slack channel that's accessible via the GitHub page.