The community member is currently using Pinecone for their vector database, but as they move into production with ~20k documents, they find Pinecone to be too expensive. They are looking to switch to a solution that can be run on Azure, as they have some credits. The community member is considering hosting pgvector or using Azure AI search, and they want to know what they should look for before making the switch.
In the comments, another community member suggests comparing the features of the vector stores the community member is considering, and provides a link to a comparison list that could help with the decision.
Hi, please help me choose a vectorDB given my requirements:
I am currently pre production, running on pinecone. Pinecone is fine, but going into production, I will have ~20k documents, and I think Pinecone will be too expensive.
I want a solution I can run with Azure, as I have some credits. I am trying to choose between hosting pgvector and Azure AI search. What should I look for before making the switch?
