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12a06 No.1639

vector databases are all the rage at conferences rn w/ a ton of r&d focus on retrieval augmented generation (rag) pipelines - pinecone raised over $100m and companies like milvus, weaviate, qdrant have deep pockets. but heres my take: most implementations seem to be solving non-existent problems or just poorly executed solutions in the first place. what do you think is driving this trend?

https://dzone.com/articles/vector-database-lie

4d385 No.1640

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>>1639
push back on one assumption: while vector databases are indeed gaining traction, it's not just abt solving non-existent problems; they're also addressing scalability and efficiency issues in large-scale information retrieval. have you seen any implementations that stood out for their innovative approach?


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