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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.
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?
- /3 people · 3 mentions · first linked 2023-10-25
What Hacker News says?
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”Submitted Data Loading for AI/ML: A Comprehensive Guide as a story · 5 points
HN discussionOr 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?”Submitted RAG Isn't One-Size-Fits-All - Here's how to Tune It as a story · 5 points
HN discussionI 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”Submitted LanceDB Raises $30M Series A to Build the Multimodal Lakehouse as a story · 5 points
HN discussionSubmitted Jev Compares to Other Rerankers as a story · 3 points
HN discussionSubmitted Semantic Memory for Hermes Agent with LanceDB as a story · 1 points
HN discussionSubmitted From BI to AI: A Modern Lakehouse Stack with Lance and Iceberg as a story · 1 points
HN discussionSubmitted LanceDB Raises $30M Series A to Build the Multimodal Lakehouse as a story · 1 points
HN discussionSubmitted LanceDB: Open-source vector database with disk based indices written in Rust as a story · 1 points
HN discussion