ChocoluvH

What does Chroma lack? Their APIs seem pretty much the same to me.

Always wondering pros/cons of Chroma and Qdrant. Can someone tell me?

haha. That case you might actually wanna consider FAISS/Milvus instead of Redis.

There's no such thing as open internet

Damn. Time to HODL?

Open source software nowadays are very easy to use.

If your guy couldn't get a single open source software straight, you had the wrong guy :(

I can only see managed service useful when I had 100X traffic and when strong SLA is required.

Certainly!

The thing is to make ElasticSearch scores "comparable" to Milvus scores. Lots of ways to do this, but there's no single good solution. For example you could calculate BM25 score offline, or use TF-IDF score to do some kind of filtering. Again there's no single perfect answer. You'd have to do a lot of experiment according to your own use case and your own data to get the best results.

Also a lot of tuning needs to be done during all phases: 1) query pre-processing 2) query tokenizing 3) retrieval 4) ranking and reranking

I personally would not trust any universal "hybird-search" solutions. All toy demos.

It usually takes 5-10 good engineers to build a decent search engine/system for any real use case. It also requires a lot of turning, tricks, hand-written rules to make things work.

IMO vector databases should not mess with ElasticSearch.

The real focus should be to improve the recall of vector search. Pity that nobody is doing real AI research here. Money wasted in marketing and branding.

I personally like Milvus very much.

My point is I only trust stuff that focuses their own business. Especially for small startups.