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LanceDB Blog: The Multimodal Lakehouse for AI

Company blog · lancedb.com/blogaidataprogramming

LanceDB Blog: The Multimodal Lakehouse for AI is the company blog at lancedb.com, writing about ai, data and programming. Since 2023, 11 different Hacker News readers have linked it 11 times. It is still writing: the last post was on 2026-10-22, and you can follow it by feed.

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11mentions?
11HN people?
2023–2026first – last linked?
Links on Hacker News per year · peak 4 in 2025

Too few sampled comments (3) to say how often HN recommends it.?

Why HN links it

HN commenters mention LanceDB as an open-source, Rust-based database for AI, vector search and serverless use. None of the comments discuss the blog's writing itself.

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.

The multimodal lakehouse for AI, accelerating large-scale data curation and feature engineering so teams can build better models faster.

Most-linked posts?

  1. /
    3 people · 3 mentions · first linked 2023-10-25

What Hacker News says?

  1. Seems like a nice abstraction. Since I see DuckDB mentioned, folks wanting serverless may also be interested in LanceDB, written in Rust, with most features built out for Python. https://lancedb.com/ https://github.com/lancedb/lancedb Side note, I wrote a proof of concept of embeddings generator being handled inside PostgreSQL, independent of the index. https://github.com/Hendler/flame

    Comment linking /

    on “Vector databases are the wrong abstraction”
  2. Submitted Data Loading for AI/ML: A Comprehensive Guide as a story · 5 points

    HN discussion
  3. Or use https://lancedb.com/ LanceDB is a developer-friendly, open source database for AI. From hyper scalable vector search and advanced retrieval for RAG, to streaming training data and interactive exploration of large scale AI datasets, LanceDB is the best foundation for your AI application Recent podcast https://talkpython.fm/episodes/show/488/multimodal-data-with...

    Comment linking /

    on “Should you ditch Spark for DuckDB or Polars?”
  4. Submitted RAG Isn't One-Size-Fits-All - Here's how to Tune It as a story · 5 points

    HN discussion
  5. I like the section on how it works: https://payperrun.com/%3E/search?display=How%20this%20servic... The vector search is using https://lancedb.com/ and OpenAI embeddings.

    Comment linking /

    on “Show HN: An Embedding-Based Search Service over ShowHN, AskHN, GitHub, More”
  6. Submitted LanceDB Raises $30M Series A to Build the Multimodal Lakehouse as a story · 5 points

    HN discussion
  7. Submitted Jev Compares to Other Rerankers as a story · 3 points

    HN discussion
  8. Submitted Semantic Memory for Hermes Agent with LanceDB as a story · 1 points

    HN discussion
  9. Submitted From BI to AI: A Modern Lakehouse Stack with Lance and Iceberg as a story · 1 points

    HN discussion
  10. Submitted LanceDB Raises $30M Series A to Build the Multimodal Lakehouse as a story · 1 points

    HN discussion
  11. Submitted LanceDB: Open-source vector database with disk based indices written in Rust as a story · 1 points

    HN discussion

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Linked by the same people?