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Hi,
I like this post which depicts well the advantages of all possible database types that you can use for embeddings: https://www.linkedin.com/pulse/choosing-vector-database-your-gen-ai-stack-abhinav-srivastava/
Personally, I would initially try with pgvector as it is available on AWS Aurora and see how far I go with it: https://aws.amazon.com/about-aws/whats-new/2023/07/amazon-aurora-postgresql-pgvector-vector-storage-similarity-search/
This post gives the limits of pgvector if you are at really high scale: https://medium.com/@zilliz_learn/getting-started-with-pgvector-a-guide-for-developers-exploring-vector-databases-9c2295bb13e5
Best,
Didier
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Thanks man!
You're very welcome!
When do you think pgvector will be in his limit of data to migrate to a full vectorial database? I'm new in the vectorial DBs and I don't know which will be a good estimate number of rows in PostgreSQL to start considering the migration to a full vectorial DB
Thanks