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MTMuhammad Tahirmtdeveloper.hashnode.dev1d ago · 14 min read

Benchmarking Vector Databases: High-Throughput Semantic Search at Scale with Node.js & Python

This article was originally published on Muhammad Tahir's Portfolio. Introduction & Industry Context In 2026, the proliferation of AI-powered applications, especially those relying on Retrieval Augmen

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HGHarrison Guoharrisonsec.hashnode.dev1d ago · 9 min read

Same Model, 13.3% to 38.3%

Two API settings. Same model. Same benchmark. Same task set. 13.3% to 38.3%, using one sixth the output tokens. OpenAI published that result about GPT-5.6 Sol on ARC-AGI-3, and it is the cleanest natu

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AKAman Karkiamankarki.hashnode.devAug 30 · 6 min read

I Benchmarked My Vector Database Against Qdrant and Chroma

I've spent the last couple of weeks building a vector database from scratch in C++ — my own HNSW index, my own storage engine, my own quantization. This week I finally pointed it at real data and ran

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PMPrzemek Marzecsovantica.hashnode.devAug 27 · 8 min read

A LongMemEval-S number you can reproduce

We held off on posting a benchmark for a long time. Not because we didn't have runs - because most memory benchmarks you read are a number with no way to check it. A blog says "X%", and you have no id

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NNNipun Nairnipunnair.hashnode.devAug 2 · 4 min read

Streaming Showdown: Kafka vs Redpanda vs NATS, benchmarked honestly

If you've ever had to pick a message broker or streaming platform, you've run into the same wall I did: every vendor comparison is written by the vendor, "benchmarks" quietly compare a tuned cluster a

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NNNipun Nairnipunnair.hashnode.devAug 2 · 7 min read

Kafka vs Redpanda vs NATS on My M4 Mac: The Real Numbers

Part 2 of 3 in Streaming Showdown. Previous: the benchmark bug. Next: when I'd actually reach for each. Part 1 is about how my first latency numbers were an artifact of a burst-then-drain test design,

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NNNipun Nairnipunnair.hashnode.devAug 2 · 6 min read

The Benchmark Bug That Made NATS Look 9x Faster Than Kafka

Part 1 of 3 in Streaming Showdown. Next: the real numbers and my test rig. I've been running a small side-by-side benchmark of Kafka, Redpanda, and NATS JetStream — same event schema, same message siz

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L(Lucian (LKB)lkforge.hashnode.devJul 20 · 5 min read

Proving It's Actually Unbeatable: How I Benchmark a Game AI Before Publishing a Number

This was originally published on the LK Forge blog, where the charts are interactive and you can play the AI it talks about. "Unbeatable" is a testable claim, not a marketing word. Before that word go

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OOmnithiumomnithium.hashnode.devMay 31 · 15 min read

The Enterprise AI Agent Performance Benchmark: How to Measure and Compare Agent Effectiveness

Why Current AI Agent Benchmarks Fail the Enterprise Why do most AI agent benchmarks fail to predict what actually happens in your production environment? Because they measure the wrong things, in the

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NSNeeloppher Syedneeloppher.hashnode.devMay 15 · 8 min read

ASR Evaluation Framework: Benchmarking Speech Recognition Models Across Accuracy, Speed, and Robustness

Picking an ASR model for production is not straightforward. Whisper might be the most accurate for general English but too slow for real-time use. Wav2Vec2 might be fast enough for edge devices but st

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Trending tags this week

Benchmarking Vector Databases: High-Throughput Semantic Search at Scale with Node.js & Python

Same Model, 13.3% to 38.3%

I Benchmarked My Vector Database Against Qdrant and Chroma

A LongMemEval-S number you can reproduce

Streaming Showdown: Kafka vs Redpanda vs NATS, benchmarked honestly

Kafka vs Redpanda vs NATS on My M4 Mac: The Real Numbers

The Benchmark Bug That Made NATS Look 9x Faster Than Kafka

Proving It's Actually Unbeatable: How I Benchmark a Game AI Before Publishing a Number

The Enterprise AI Agent Performance Benchmark: How to Measure and Compare Agent Effectiveness

ASR Evaluation Framework: Benchmarking Speech Recognition Models Across Accuracy, Speed, and Robustness