Software Alternatives, Accelerators & Startups

FYI VS Vespa.ai

Compare FYI VS Vespa.ai and see what are their differences

FYI logo FYI

Find your documents, like magic 🔮

Vespa.ai logo Vespa.ai

Store, search, rank and organize big data
  • FYI Landing page
    Landing page //
    2023-09-23
  • Vespa.ai Landing page
    Landing page //
    2023-05-13

FYI videos

FYI: Revology

More videos:

  • Review - FYI.to Review- Get Lifetime Deal Now!
  • Review - FYI Review of the External HDMI monitor USB Touch screen control for Android tablet

Vespa.ai videos

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Category Popularity

0-100% (relative to FYI and Vespa.ai)
Productivity
100 100%
0% 0
Search Engine
0 0%
100% 100
App Launcher
100 100%
0% 0
Custom Search Engine
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Vespa.ai seems to be a lot more popular than FYI. While we know about 19 links to Vespa.ai, we've tracked only 1 mention of FYI. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

FYI mentions (1)

Vespa.ai mentions (19)

  • Code Search Is Hard
    If you're serious about scaling up, definitely consider Vespa (https://vespa.ai). At serious scale, Vespa will likely knock all the other options out of the park. - Source: Hacker News / 3 months ago
  • Simple Precision Time Protocol at Meta
    Yahoo released their geographic data catalogue under open license and it still lives on as https://whosonfirst.org/ Afaik https://en.wikipedia.org/wiki/Apache_ZooKeeper started at Yahoo https://vespa.ai/ was Yahoo's search engine for news and other content product, now spinned off (https://techcrunch.com/2023/10/04/yahoo-spins-out-vespa-its-search-tech-into-an-independent-company/). - Source: Hacker News / 5 months ago
  • Are we at peak vector database?
    I think https://vespa.ai/ has the right approach in this space by focusing on being hybrid - vectors alone aren't great for production use cases, it's the combining of vectors+text that lets you use ranking to get meaningful result. (I'm an investor so I'm biased; but it's also the reason why I invested). - Source: Hacker News / 5 months ago
  • Show HN: RAGatouille, a simple lib to use&train top retrieval models in RAG apps
    So what’s the catch? Why is this not everywhere? Because IR is not quite NLP — it hasn’t gone fully mainstream, and a lot of the IR frameworks are, quite frankly, a bit of a pain to work with in-production. Some solid efforts to bridge the gap like Vespa [1] are gathering steam, but it’s not quite there. [1] https://vespa.ai. - Source: Hacker News / 6 months ago
  • Creating an advanced search engine with PostgreSQL
    When it comes to search I cannot disagree more. https://vespa.ai is a purpose built search engine. If you start bolting search onto your database, your relevance will be terrible, you'll be rewriting a lot of table stakes tools/features from scratch, and your technical debt will skyrocket. - Source: Hacker News / 12 months ago
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What are some alternatives?

When comparing FYI and Vespa.ai, you can also consider the following products

eesel - The new tab for work

Meilisearch - Ultra relevant, instant, and typo-tolerant full-text search API

Slapdash - Fastest way to work across your cloud apps ⚡️

Typesense - Typo tolerant, delightfully simple, open source search 🔍

Meta Search - Search your Desktop, Google Drive, Dropbox, Gmail, Evernote.

Qdrant - Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/