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#vectors — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #vectors, aggregated by home.social.

  1. Alright, future engineers!
    The **Dot Product** takes two vectors and returns a scalar. It tells you how much they align!
    Ex: For `v=[v1,v2]` & `w=[w1,w2]`, `v.w = v1w1 + v2w2`.
    Pro-Tip: If `v.w = 0`, the vectors are orthogonal (perpendicular)!
    #LinearAlgebra #Vectors #STEM #StudyNotes

  2. Alright, future engineers!
    The **Dot Product** takes two vectors and returns a scalar. It tells you how much they align!
    Ex: For `v=[v1,v2]` & `w=[w1,w2]`, `v.w = v1w1 + v2w2`.
    Pro-Tip: If `v.w = 0`, the vectors are orthogonal (perpendicular)!
    #LinearAlgebra #Vectors #STEM #StudyNotes

  3. Alright, future engineers!
    The **Dot Product** takes two vectors and returns a scalar. It tells you how much they align!
    Ex: For `v=[v1,v2]` & `w=[w1,w2]`, `v.w = v1w1 + v2w2`.
    Pro-Tip: If `v.w = 0`, the vectors are orthogonal (perpendicular)!
    #LinearAlgebra #Vectors #STEM #StudyNotes

  4. Alright, future engineers!
    The **Dot Product** takes two vectors and returns a scalar. It tells you how much they align!
    Ex: For `v=[v1,v2]` & `w=[w1,w2]`, `v.w = v1w1 + v2w2`.
    Pro-Tip: If `v.w = 0`, the vectors are orthogonal (perpendicular)!
    #LinearAlgebra #Vectors #STEM #StudyNotes

  5. Alright, future engineers!
    The **Dot Product** takes two vectors and returns a scalar. It tells you how much they align!
    Ex: For `v=[v1,v2]` & `w=[w1,w2]`, `v.w = v1w1 + v2w2`.
    Pro-Tip: If `v.w = 0`, the vectors are orthogonal (perpendicular)!
    #LinearAlgebra #Vectors #STEM #StudyNotes

  6. This is a handy list for comparing the features of vector databases (holy mole there are a lot of them), including year of launch, opensource-ness, licences, and implementation language: superlinked.com/vector-db-comp

  7. This is a handy list for comparing the features of vector databases (holy mole there are a lot of them), including year of launch, opensource-ness, licences, and implementation language: superlinked.com/vector-db-comp

    #vectors #embeddings #search #retrieval #rag #genai #agents

  8. This is a handy list for comparing the features of vector databases (holy mole there are a lot of them), including year of launch, opensource-ness, licences, and implementation language: superlinked.com/vector-db-comp

    #vectors #embeddings #search #retrieval #rag #genai #agents

  9. This is a handy list for comparing the features of vector databases (holy mole there are a lot of them), including year of launch, opensource-ness, licences, and implementation language: superlinked.com/vector-db-comp

    #vectors #embeddings #search #retrieval #rag #genai #agents

  10. This is a handy list for comparing the features of vector databases (holy mole there are a lot of them), including year of launch, opensource-ness, licences, and implementation language: superlinked.com/vector-db-comp

    #vectors #embeddings #search #retrieval #rag #genai #agents

  11. Alright, future engineers!

    The **Dot Product** of two vectors gives a scalar, measuring their alignment.
    Ex: For `v=[1,2]`, `w=[3,4]`, `v.w = (1*3) + (2*4) = 11`.
    Pro-Tip: A zero dot product means the vectors are orthogonal!

    #LinearAlgebra #Vectors #STEM #StudyNotes

  12. Alright, future engineers!

    The **Dot Product** of two vectors gives a scalar, measuring their alignment.
    Ex: For `v=[1,2]`, `w=[3,4]`, `v.w = (1*3) + (2*4) = 11`.
    Pro-Tip: A zero dot product means the vectors are orthogonal!

    #LinearAlgebra #Vectors #STEM #StudyNotes

  13. Alright, future engineers!

    The **Dot Product** of two vectors gives a scalar, measuring their alignment.
    Ex: For `v=[1,2]`, `w=[3,4]`, `v.w = (1*3) + (2*4) = 11`.
    Pro-Tip: A zero dot product means the vectors are orthogonal!

    #LinearAlgebra #Vectors #STEM #StudyNotes

  14. Alright, future engineers!

    The **Dot Product** of two vectors gives a scalar, measuring their alignment.
    Ex: For `v=[1,2]`, `w=[3,4]`, `v.w = (1*3) + (2*4) = 11`.
    Pro-Tip: A zero dot product means the vectors are orthogonal!

    #LinearAlgebra #Vectors #STEM #StudyNotes

  15. Alright, future engineers!

    The **Dot Product** of two vectors gives a scalar, measuring their alignment.
    Ex: For `v=[1,2]`, `w=[3,4]`, `v.w = (1*3) + (2*4) = 11`.
    Pro-Tip: A zero dot product means the vectors are orthogonal!

    #LinearAlgebra #Vectors #STEM #StudyNotes

  16. 📖 Perfect prep for this #JCON2025 workshop:
    🔹 Building Powerful GenAI Apps with Pure Java (16:00)

    @RichardFichtner’s article “Build Vector Database Apps with Pure Java”
    👉 javapro.io/2026/04/02/build-ve

    #Java #EclipseStore #MicroStream #GenAI #LLM #Vectors #VectorSearch

  17. 📖 Perfect prep for this #JCON2025 workshop:
    🔹 Building Powerful GenAI Apps with Pure Java (16:00)

    @RichardFichtner’s article “Build Vector Database Apps with Pure Java”
    👉 javapro.io/2026/04/02/build-ve

    #Java #EclipseStore #MicroStream #GenAI #LLM #Vectors #VectorSearch