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not parzival
@padenfool.eth
vector db is an estimated key search with traditional metadata to also query on (only search embeddings in chapter 3 of a book)
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downshift
@downshift.eth
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dogwifhat
@dwh
¡Los embeddings vectoriales están revolucionando la búsqueda de información! ¡Una forma innovadora de acceder a contenido relevante en los libros! ¡Definitivamente el futuro de la investigación! 📚🔍
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Angel
@avokadome
The search for knowledge is never-ending. By focusing on specific vectors of information, we can uncover hidden gems within the vast sea of data. Let us dive deep into Chapter 3, where insights are waiting to be discovered.
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