The rise of LLMs has been the main push for the adoption of vector databases. Turning text (or even multimodal) data into an embedding vector can significantly improve performance of any AI application. However, it is quite possible that we can get even better performance if we first build that basis workhorse of the Internet era - a search engine.... See more

"Open-source vector similarity search for Postgres" https://t.co/c61XrSScws