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The Data Quarry
Personal blog · thedataquarry.comdataai
The Data Quarry is a personal blog at thedataquarry.com about data and ai. Since 2023, 10 different Hacker News readers have linked it 12 times, most often “Vector databases: What makes each one different?”. It is still writing: the last post was on 2026-11-01, and you can follow it by feed.
Too few sampled comments (3) to say how often HN recommends it.?
Why HN links it
HN readers link this blog for explainers and comparisons of vector databases, including LanceDB, Chroma and choosing a self-hosted option. Posts are cited when discussing storage and tooling choices.
Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
AI, Data, and everything in between
Most-linked posts?
- Vector databases: What makes each one different?3 people · 3 mentions · first linked 2023-07-03
- Vector databases: analyzing the trade-offs2 people · 2 mentions · first linked 2023-08-19
What Hacker News says?
Nice post! I think this could be a very good page to bookmark. There is also this series of articles detailing the options and it includes some that the OP is missing: https://thedataquarry.com/posts/vector-db-1/#key-takeaways I'm currently in the market for a self hosted DB for a personal project. The project is an app you can run on your own system and provide QA on your text files. So I'm looking for something li…
Comment linking /posts/vector-db-1/
on “Choosing vector database: a side-by-side comparison”Submitted KuzuDB vs. Neo4j as a story · 4 points
HN discussionWe use Lance extensively at my startup. This blog post (previously on HN) details nicely why: https://thedataquarry.com/posts/vector-db-4/ but essentially it’s because Lance is a “just a file” in the same way SQLite is a “just a file” which makes it embedded and serverless and straightforward to use locally or in a deployment.
Comment linking /posts/vector-db-4/
on “LLMs, RAG, & the missing storage layer for AI”Submitted Will embedded DBMSs be successful: DuckDB, KùzuDB, LanceDB as a story · 4 points
HN discussionFair point, then you could claim it's similar to this DB with its reliance on Faiss. Despite that, Chroma at this point is more feature rich. I was mostly referring to this https://thedataquarry.com/posts/vector-db-1/ You are not wrong about the performance from Rust, but LanceDB is inherently written with performance in mind. SIMD support for both x86 and ARM, and an underlying vector storage approach that's built…
Comment linking /posts/vector-db-1/
on “VectorDB: Vector Database Built by Kagi Search”Submitted Using LLMs to Enrich Datasets as a story · 3 points
HN discussionSubmitted A framework for technical writing in the age of LLMs as a story · 2 points
HN discussionSubmitted Vector databases: What makes each one different? as a story · 2 points
HN discussionSubmitted BAML is like building blocks for AI engineers as a story · 1 points
HN discussionSubmitted Why I'm excited about BAML and the future of agentic workflows as a story · 1 points
HN discussionSubmitted Vector databases: analyzing the trade-offs as a story · 1 points
HN discussionSubmitted Vector databases: What makes each one different? as a story · 1 points
HN discussion