Software Alternatives & Reviews

Vespa.ai VS Expertrec

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

Vespa.ai logo Vespa.ai

Store, search, rank and organize big data

Expertrec logo Expertrec

Adds super fast search autocomplete, spell correct and search listing pages to your site search.
  • Vespa.ai Landing page
    Landing page //
    2023-05-13
  • Expertrec Landing page
    Landing page //
    2023-06-29

Search is a much needed discovery tool on any website. Doesnt mean that it has to be costly. With search technology maturing, Expertrec offers a high quality search experience at an affordable cost.

Vespa.ai videos

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Expertrec videos

ExpertRec- Machine Learning Recommendation Engine

Category Popularity

0-100% (relative to Vespa.ai and Expertrec)
Search Engine
100 100%
0% 0
Custom Search Engine
55 55%
45% 45
Custom Search
42 42%
58% 58
Databases
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Vespa.ai seems to be more popular. It has been mentiond 19 times since March 2021. 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.

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 / 20 days 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 / 3 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 / 3 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 / 4 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 / 10 months ago
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Expertrec mentions (0)

We have not tracked any mentions of Expertrec yet. Tracking of Expertrec recommendations started around Mar 2021.

What are some alternatives?

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

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

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

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

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...

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/