Comment on Pinecone integrates AI inferencing with vector databaseparentComments−jeadie1yThis is a common feature now. If anything, for being so early to vector databases, Pinecone was rather late to integrating embeddings.Timescale most recently added it but, yes a bunch of others: Weaviate, Spice AI, Marqo, etc.−gdj0nes1yA difference between Pinecone and many of the others you listed is that we host both embedding and reranking models in a serverless fashion. You pay for what you use while we manage the entire stack.−jimminyxOP1yDo any of the others also handle reranking?−iosjunkie1yQdrant does with its ‘Query API’.https://qdrant.tech/documentation/concepts/hybrid-queries/And handles embedding creation with its fastembed package.https://github.com/qdrant/fastembed−tech2trees1yMarqo does: https://www.marqo.ai/−cess111yI don't know about them, but Manticore does.https://manticoresearch.com/use-case/vector-search/
Comments
This is a common feature now. If anything, for being so early to vector databases, Pinecone was rather late to integrating embeddings.
Timescale most recently added it but, yes a bunch of others: Weaviate, Spice AI, Marqo, etc.
A difference between Pinecone and many of the others you listed is that we host both embedding and reranking models in a serverless fashion. You pay for what you use while we manage the entire stack.
Do any of the others also handle reranking?
Qdrant does with its ‘Query API’.
https://qdrant.tech/documentation/concepts/hybrid-queries/
And handles embedding creation with its fastembed package.
https://github.com/qdrant/fastembed
Marqo does: https://www.marqo.ai/
I don't know about them, but Manticore does.
https://manticoresearch.com/use-case/vector-search/