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Common Pitfalls To Avoid When Using Vector Databases
Common Pitfalls To Avoid When Using Vector Databases
- Richmond Alake
- 18 min read
- 2 years ago
Richmond Alake is an AI Engineer with an academic background in AI. Richmond has taught AI/ML/Data courses online and has written over 200 technical articles. | AI Engineer
Introduction
The use of vecto...
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Vector Databases Are the Wrong Abstraction
Category: All posts
"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 inevitably evolves into a complex orchestra of monitoring, synchronization, and firefighting.
We've spent th...
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How We Made 100M Vector Indexing in 20 Minutes Possible on PostgreSQL
How We Made 100M Vector Indexing in 20 Minutes Possible on PostgreSQL
1. Introduction
In the past few months, we’ve heard consistent feedback from users and partners: while our goal of providing a scalable, high-performance alternative to pgvector is well-received, index build time and memory usage ...
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bidicalc
bidicalc
In any normal spreadsheet, when you change values that are the input to some formulas, the outputs are automatically updated:
Could it also work the other way? What if you could also change the output, and have the inputs be updated to match the formula?
For the past few months I've been ob...
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The Illustrated Word2vec
The Illustrated Word2vec
Discussions:
Hacker News (347 points, 37 comments), Reddit r/MachineLearning (151 points, 19 comments)
Translations: Chinese (Simplified), French, Korean, Portuguese, Russian
“There is in all things a pattern that is part of our universe. It has symmetry, elegance, and grace...
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What is Similarity Search? | Pinecone
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 similarity search so useful.
Introduction
Searching through data for similar items is a common operation in databases, search engines, and many other ap...
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Revisiting "Let's Build a Compiler"
There's an old compiler-building tutorial that has become part of the field's lore: the Let's Build a Compiler series by Jack Crenshaw (published between 1988 and 1995).
I ran into it in 2003 and was very impressed, but it's now 2025 and this tutorial is still being mentioned quite often in Hacker N...
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Scaling Natural-Language Video Search: Inside Verkada’s Breakthrough | Verkada
Scaling Natural-Language Video Search: Inside Verkada’s Breakthrough
Security teams don’t have hours to scrub through camera footage. Whether tracing a suspicious vehicle or verifying a delivery, quickly finding the right footage is critical.
In May 2024, Verkada transformed investigations with AI-p...
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My favourite small hash table
My favourite small hash table
I'm the kind of person who thinks about the design and implementation of hash tables. One design which I find particularly cute, and I think deserves a bit more publicity, is Robin Hood open-addressing with linear probing and power-of-two table size. If you're not famil...
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Writing an LLM from scratch, part 28 -- training a base model from scratch on an RTX 3090
Writing an LLM from scratch, part 28 -- training a base model from scratch on an RTX 3090
Having worked through the main body of Sebastian Raschka's book "Build a Large Language Model (from Scratch)", I wanted to try an experiment: is it possible to train a base model of my own, on my own hardware?
...
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Estimates – a necessary evil?
Estimates – a necessary evil?
Product Owner: Hey, how long do you believe
Feature F
will take?Developer: Idk. We haven’t even started working on it and it’s bound to stir up some old issues.
Estimates come in various disguises, but when you peek under the trench coat there is always the question:
"H...
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I failed to recreate the 1996 Space Jam Website with Claude | j0nah.com
I failed to recreate the 1996 Space Jam Website with Claude
— claude, ai, space jam, web development, computer vision — 14 min read
Link to the Hacker News post. Thanks everybody for all the engagement!
Since writing this post, a few people have reached out to show me their attempts. Check them out ...
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https://ai.plainenglish.io/i-finally-understood-attention-is-all-you-need-after-so-long-heres-how-i-did-it-263b46273f9f
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Jake Vanderplas - Statistics for Hackers
Statistics has the reputation of being difficult to understand, but using some simple Python skills it can be made much more intuitive. This talk will cover several sampling-based approaches to solving statistical problems, and show you that if you can write a for-loop, you can do statistics.
https:...
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GitHub - humanlayer/12-factor-agents: What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
In the spirit of 12 Factor Apps. The source for this project is public at https://github.com/humanlayer/12-factor-agents, and I welcome your feedback and contributions. Let's figure this out together!
Tip
Missed the AI Engineer World's Fair? Catch the talk here
Looking for Context Engineering? Jump ...
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SQLite JSON Superpower: Virtual Columns + Indexing - DB Pro Blog
SQLite JSON Superpower: Virtual Columns + Indexing
We absolutely love SQLite here at DB Pro. You'd be hard-pressed to find anyone who actively dislikes it. Sure, it has limitations, and I do mean limitations, not weaknesses. SQLite can absolutely be used in production when it's deployed properly and...
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Software engineering under the spotlight
Software engineering under the spotlight
Think of a tech company as a giant, dimly-lit factory. Work goes on throughout the factory as components shuffle back and forth, and finished products get steadily carted away, but the coordination and efficiency of each section is fairly low. Some parts of t...
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The End of the Train-Test Split
You are a machine learning engineer at Facebook in Menlo Park. Your task: build the best butt classification model, which decides if there is an exposed butt in an image.
The content policy team in D.C. has written country-specific censorship rules based on cultural tolerance for gluteal cleft—or bu...
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Qwen3-VL can scan two-hour videos and pinpoint nearly every detail
A few months after launching Qwen3-VL, Alibaba has released a detailed technical report on the open multimodal model. The data shows the system excels at image-based math tasks and can analyze hours of video footage.
The system handles massive data loads, processing two-hour videos or hundreds of do...
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