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"Your embeddings are out of sync again."
It's a message that haunts engineering teams trying to build AI applications. What starts as a simple vector search implementation inevitab...
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Common Pitfalls To Avoid When Using Vector Databases
- Richmond Alake
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Richmond Alake is an AI Engineer with an academic ba...
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How VectorDBs Work Internally + How To Make The Most Out Of Them
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Thanks for writing this one Simon, I read it some time ago and I just wanted to say thanks and recommend it to folks browsing the comments, it's reall...
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Will Amazon S3 Vectors Kill Vector Databases—or Save Them?
Not too long ago, AWS dropped something new: S3 Vectors. It’s their first attempt at a vect...
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Everyone Loves pgvector (in theory)
If you’ve spent any time in the vector search space over the past year, you’ve probably read blog posts explaining...
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9 min read
Feb 02, 2026
Table of contents
01 The “Use the Right Tool” Trap02 Why This Matters Now: The AI Era03 “But Specialized Databases Are Better!...
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The State of Vector Search in SQLite
Making vector search fast, memory-efficient, and natural in SQLite.
I usually don’t like to reinvent the wheel, b...
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Scaling Natural-Language Video Search: Inside Verkada’s Breakthrough
Security teams don’t have hours to scrub through camera footage. Whether tracing ...
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Pinecone is a vector database that makes it easy to add similarity search to any application. Try it free, and continue reading to learn what makes si...
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King – Man + Woman = Queen: The Marvelous Mathematics of Computational Linguistics
Computational linguistics has dramatically changed the way research...