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Marqo

Company blog · marqo.ai/blogaidata

Marqo is the company blog at marqo.ai, writing about ai and data. Since 2023, 12 different Hacker News readers have linked it 34 times, most often “AI Search That Understands the Way Your Customer's Think”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
34mentions?
12HN people?
2023–2025first – last linked?
Links on Hacker News per year · peak 24 in 2024

Too few sampled comments (11) to say how often HN recommends it.?

Why HN links it

Marqo's blog posts cover embedding models, contrastive learning for search, RAG retrieval and multimodal search. HN commenters cite them as support for their own points, mostly while mentioning Marqo's open-source search engine.

Summarised by Claude from a sample of 11 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

AI-native search, recommendations, and merchandising trained on your catalog. Marqo delivers $130M+ in proven revenue for enterprise retailers.

Most-linked posts?

  1. AI Search That Understands the Way Your Customer's Think
    4 people · 4 mentions · first linked 2023-09-04
  2. From “iron manual” to “Iron Man” – augmenting GPT with a fast editable memory
    3 people · 3 mentions · first linked 2023-02-08
  3. Generalizing Open AI's Clip: Generalized Contrastive Learning
    2 people · 3 mentions · first linked 2024-06-05

What Hacker News says?

  1. Yup, and you can train these in-domain contextual relationships into the embedding models. https://www.marqo.ai/blog/generalized-contrastive-learning-f...

    Comment linking /blog/generalized-contrastive-learning-for-multi-modal-retrieval-and-ranking

    on “Show HN: Wordllama – Things you can do with the token embeddings of an LLM”
  2. Submitted Binarize CLIP for Multimodal Applications as a story · 38 points

    HN discussion
  3. You can also train query awareness into the embedding model. This avoids LLMs rewriting questions poorly and lets you embed questions the way your customers actually ask them. For an example with multimodal: https://www.marqo.ai/blog/generalized-contrastive-learning-f... But the same approach works with text.

    Comment linking /blog/generalized-contrastive-learning-for-multi-modal-retrieval-and-ranking

    on “Solving the out-of-context chunk problem for RAG”
  4. Submitted Matryoshka Representation Learning with CLIP as a story · 31 points

    HN discussion
  5. Marqo.ai | Senior Engineer | Hybrid (Melbourne) | Full-Time | https://marqo.ai At Marqo we’re building an open-source search engine that thinks like humans. Marqo's open-source tensor search engine uses machine learning models for search, improving relevance, and providing solutions to problems that were previously difficult or impossible to solve. We are growing and looking for a senior engineer to spearhead the de…

    Comment linking /

    on “Ask HN: Who is hiring? (March 2023)”
  6. Submitted New Marqo Ecommerce Models Outperform Amazon by Up to 88% as a story · 5 points

    HN discussion
  7. Marqo lets you use state of the art e5 embeddings (which are significantly more performant in retrieval than the openai embeddings), and will handle the embedding generation and retrieval on lucene indexes: https://www.marqo.ai/ It's also available opensource: https://github.com/marqo-ai/marqo

    Comment linking /

    on “Vector Search with OpenAI Embeddings: Lucene Is All You Need”
  8. Submitted HNSW Under Real-World Scenarios – Explored as a story · 5 points

    HN discussion
  9. Marqo does: https://www.marqo.ai/

    Comment linking /

    on “Pinecone integrates AI inferencing with vector database”
  10. Submitted How to Create Hugging Face Spaces Demos – A Beginner's Guide as a story · 4 points

    HN discussion
  11. It will depend on the type of data you are using, and then what you are planning on doing with it. Various open source models will take various modalities (e.g. images of models), and will create an embedding/vector for them (even if just as an internal representation). You can take these, and store them in a vector DB. This may help https://www.marqo.ai/blog/how-to-implement-text-to-image-sea...

    Comment linking /blog/how-to-implement-text-to-image-search-on-marqo-in-5-lines-of-code

    on “Faiss: A library for efficient similarity search”
  12. Submitted Fine-Tuning Embedding Models Course as a story · 4 points

    HN discussion
  13. Just a heads-up: I'm having trouble loading the website as linked here without `www.`, but https://www.marqo.ai as linked on the GitHub repo works fine.

    Comment linking /

    on “Ask HN: Who is hiring? (April 2023)”
  14. Submitted Getting Started with Google Colab (Run Python in the Browser) as a story · 4 points

    HN discussion
  15. Marqo.ai | Senior Engineer | Hybrid (Melbourne) | Full-Time | https://marqo.ai At Marqo we’re building an open-source search engine that thinks like humans. Marqo's open-source tensor search engine uses machine learning models for search, improving relevance, and providing solutions to problems that were previously difficult or impossible to solve. We are growing and looking for a senior engineer to spearhead the de…

    Comment linking /

    on “Ask HN: Who is hiring? (April 2023)”
  16. Submitted How to Fine-Tune and Deploy Embedding Models as a story · 3 points

    HN discussion
  17. I have a hosted code-first agent builder platform in production, so I respond these question a lot from our customers. 1. Probably the best is fly.io IMHO. It has a nice balance between running ephemeral containers that can support long running tasks, and quickly booting up to respond to a tool call. [1] 2. If your task is truly long running, (I'm thinking several minutes), probably wise to put trigger [2] or tempor…

    Comment linking /

    on “Ask HN: What's your serverless stack for AI/LLM apps in production?”
  18. Submitted Multimodal Models for Search and Recommendations in Fashion as a story · 3 points

    HN discussion
  19. This is really cool - would be awesome to connect at some point. I co-founded Marqo which also enables this through providing the semantic search component of this workflow. We've found some interesting results combining it with LLMs. https://www.marqo.ai/blog/from-iron-manual-to-ironman-augmen...

    Comment linking /blog/from-iron-manual-to-ironman-augmenting-gpt-with-marqo-for-fast-editable-memory-to-enable-context-aware-question-answering

    on “Show HN: Summaries and Q&A for dense financial disclosures”
  20. Submitted A Guide to Fine-Tuning Clip Models as a story · 3 points

    HN discussion
  21. Pretty similar open source project here: https://www.marqo.ai/blog/from-iron-manual-to-ironman-augmen...

    Comment linking /blog/from-iron-manual-to-ironman-augmenting-gpt-with-marqo-for-fast-editable-memory-to-enable-context-aware-question-answering

    on “ChatPDF – Chat with Any PDF”
  22. Submitted Generalizing Open AI's Clip: Generalized Contrastive Learning as a story · 3 points

    HN discussion
  23. Submitted Legacy Ecommerce Search Is Dead, and It's Costing You Sales as a story · 2 points

    HN discussion
  24. Submitted The New Embedding Model Training Platform as a story · 2 points

    HN discussion
  25. Submitted Fine-Tuning Embedding Models Course as a story · 2 points

    HN discussion
  26. Submitted AI Search That Understands the Way Your Customer's Think as a story · 2 points

    HN discussion
  27. Submitted Generalized Contrastive Learning for Multi-Modal Retrieval and Ranking as a story · 2 points

    HN discussion
  28. Submitted How to Create an AI Podcast with Google's NotebookLM as a story · 1 points

    HN discussion
  29. Submitted How to Build a Multimodal Hybrid Search System with Vectors and Full Text as a story · 1 points

    HN discussion
  30. Submitted Marqo Launches Family of Embedding Models for Ecommerce and Retail as a story · 1 points

    HN discussion

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