[beoberha]

Vector dbs are quickly becoming a commodity. This was not true when pinecone was founded and received its first few rounds of funding.

At this point, Postgres has clearly caught up and the VCs are going to do everything it takes to hold on.

[klysm]

Vectors seem like kinda the easiest thing to store in a lot of ways

[beoberha]

The more advanced index algorithms don’t fit nicely into typical database indexes like B-Trees. That’s definitely why there was a lag between dbs like Pinecone and Postgres. However, that moat isn’t significant and being quickly filled in

[colordrops]

It was obvious from the beginning that vector databases were commodity. I heard about pgvector before pinecone.

[beoberha]

there was a long time that pgvector only had basic similarity algorithms and not HNSW but pinecone did. That plus being “fully managed” made it a super compelling product. Nowadays, much less so, but there is still a market if it is more “enterprise ready” than others like Lantern

[ldjkfkdsjnv]

Pinecone just put devops around facebooks FAISS library