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Lantern

Company blog · lantern.dev/blogdataprogramming

Lantern is the company blog at lantern.dev, writing about data and programming. Since 2024, 5 different Hacker News readers have linked it 15 times, most often “Create Index Externally: Offloading Pgvector Indexing from Postgres”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
15mentions?
5HN people?
2024–2024first – last linked?

The most powerful database for building AI applications.

Most-linked posts?

  1. Create Index Externally: Offloading Pgvector Indexing from Postgres
    4 people · 4 mentions · first linked 2024-10-02
  2. Show HN: Dynamically loaded extensions in Postgres in the browser
    3 people · 3 mentions · first linked 2024-07-12
  3. Understanding Pgvector's HNSW Index Storage in Postgres
    3 people · 3 mentions · first linked 2024-08-22

What Hacker News says?

  1. We provide this functionality in Lantern cloud via our Lantern Extras extension: < https://github.com/lanterndata/lantern_extras > You can generate CLIP embeddings locally on the DB server via: SELECT abstract, introduction, figure1, clip_text(abstract) AS abstract_ai, clip_text(introduction) AS introduction_ai, clip_image(figure1) AS figure1_ai INTO papers_augmented FROM papers; Then you can search for embeddings v…

    Comment linking /docs/develop/generate

    on “Embeddings are a good starting point for the AI curious app developer”
  2. Submitted Postgres vs. Pinecone as a story · 119 points

    HN discussion
  3. Author here. > I don’t think “get moar ram” is a good response to that particular critique. I do not think the blog post suggested "get more ram" as a response, but happy to clarify if you could share more details! > Indexing in Postgres is legitimately painful Lantern is here to make the process seamless and remove most of the pain for people building LLM/AI applications. Examples: 1. We build tools to remove the g…

    Comment linking /blog/async-embedding-tables

    on “Postgres vs. Pinecone”
  4. Submitted 90x Faster Than Pgvector – Lantern's HNSW Index Creation Time as a story · 109 points

    HN discussion
  5. Submitted Understanding Pgvector's HNSW Index Storage in Postgres as a story · 77 points

    HN discussion
  6. Submitted Show HN: Dynamically loaded extensions in Postgres in the browser as a story · 9 points

    HN discussion
  7. Submitted Create Index Externally: Offloading Pgvector Indexing from Postgres as a story · 5 points

    HN discussion
  8. Submitted Understanding Pgvector's HNSW Index Storage in Postgres as a story · 3 points

    HN discussion
  9. Submitted Create Index Externally: Offloading Pgvector Indexing from Postgres as a story · 2 points

    HN discussion
  10. Submitted Create Index Externally: Offloading Pgvector Indexing from Postgres as a story · 2 points

    HN discussion
  11. Submitted Understanding Pgvector's HNSW Index Storage in Postgres as a story · 2 points

    HN discussion
  12. Submitted Show HN: Dynamically loaded extensions in Postgres in the browser as a story · 2 points

    HN discussion
  13. Submitted Create Index Externally: Offloading Pgvector Indexing from Postgres as a story · 1 points

    HN discussion
  14. Submitted Dynamically loaded extensions in Postgres in the browser as a story · 1 points

    HN discussion

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