Files
landing_page/qdrant-landing/content/customers/customers-vector-space-wall.md
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nastyapashandtrean 21776375a9 [WIP] New Pages (#873)
* Add Partnerspage

* fix

* fix padding

* tablet get-started-small update

* Add Customers page

* incorparated site-header partial

* fix

* Add community page (#886)

* Add community page

* site-header partial on the comunity page

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Co-authored-by: trean <trean.mi@gmail.com>

* Add Brand-Resources and Subscribe pages (#930)

* add Brand resources page

* add Subscribe page

* Add Qdrant for startups page (#934)

* Add Qdrant for startups page

* improve accordion and link to the form

* fix

* Add Stars page (#890)

* Add Stars page

* site-header partial on the stars page

* overlay z-index fix

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Co-authored-by: trean <trean.mi@gmail.com>

* new pages content update and accompanying css and html changes (#943)

* new pages content update and accompanying css and html changes

* format, removed comment, fix

* fixes

* subscribe page hubspot form (#946)

* brand resources content (#947)

* Stars page content (#945)

* stars page content update

* stars images format, replaced stars hero image

* uncommented stars menu link

* update stats: github stars and discord members number

* photo

* stars content upd

* stars list update

* Startup program content (#961)

* startup program hubspot form

* form fixes

* another form, some fixes

* content upd

* stars

* temp build options for the startups program page

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Co-authored-by: trean <trean.mi@gmail.com>
2024-06-17 15:56:32 +02:00

4.2 KiB
Raw Blame History

title, link, testimonials, sitemapExclude
title link testimonials sitemapExclude
Vector Space Wall
url text
https://testimonial.to/qdrant/all Submit Your Testimonial
id name position avatar text
0 Jonathan Eisenzopf Chief Strategy and Research Officer at Talkmap
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/img/customers/jonathan-eisenzopf.svg Avatar
“With Qdrant, we found the missing piece to develop our own provider independent multimodal generative AI platform on enterprise scale.”
id name position avatar text
1 Angel Luis Almaraz Sánchez Full Stack | DevOps
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/img/customers/angel-luis-almaraz-sanchez.svg Avatar
Thank you, great work, Qdrant is my favorite option for similarity search.
id name position avatar text
2 Shubham Krishna ML Engineer @ ML6
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/img/customers/shubham-krishna.svg Avatar
Go ahead and checkout Qdrant. I plan to build a movie retrieval search where you can ask anything regarding a movie based on the vector embeddings generated by a LLM. It can also be used for getting recommendations.
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3 Kwok Hing LEON Data Science
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/img/customers/kwok-hing-leon.svg Avatar
Check out qdrant for improving searches. Bye to non-semantic KM engines.
id name position avatar text
4 Ankur S Building
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/img/customers/ankur-s.svg Avatar
Quadrant is a great vector database. There is a real sense of thought behind the api!
id name position avatar text
5 Yasin Salimibeni View Yasin Salimibeni’s profile AI Evangelist | Generative AI Product Designer | Entrepreneur | Mentor
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/img/customers/yasin-salimibeni-view-yasin-salimibeni.svg Avatar
Great work. I just started testing Qdrant Azure and I was impressed by the efficiency and speed. Being deploy-ready on large cloud providers is a great plus. Way to go!
id name position avatar text
6 Marcel Coetzee Data and AI Plumber
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/img/customers/marcel-coetzee.svg Avatar
Using Qdrant as a blazing fact vector store for a stealth project of mine. It offers fantasic functionality for semantic search ✨
id name position avatar text
7 Andrew Rove Principal Software Engineer
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/img/customers/andrew-rove.svg Avatar
We have been using Qdrant in production now for over 6 months to store vectors for cosine similarity search and it is way more stable and faster than our old ElasticSearch vector index.<br/><br/>No merging segments, no red indexes at random times. It just works and was super easy to deploy via docker to our cluster.<br/><br/>It’s faster, cheaper to host, and more stable, and open source to boot!
id name position avatar text
8 Josh Lloyd ML Engineer
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/img/customers/josh-lloyd.svg Avatar
I'm using Qdrant to search through thousands of documents to find similar text phrases for question answering. Qdrant's awesome filtering allows me to slice along metadata while I'm at it! 🚀 and it's fast ⏩🔥
id name position avatar text
9 Leonard Püttmann data scientist
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/img/customers/leonard-puttmann.svg Avatar
Amidst the hype around vector databases, Qdrant is by far my favorite one. It's super fast (written in Rust) and open-source! At Kern AI we use Qdrant for fast document retrieval and to do quick similarity search for text data.
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10 Stanislas Polu Software Engineer & Co-Founder, Dust
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/img/customers/stanislas-polu.svg Avatar
Qdrant's the best. By. Far.
id name position avatar text
11 Sivesh Sukumar Investor at Balderton
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/img/customers/sivesh-sukumar.svg Avatar
We're using Qdrant to help segment and source Europe's next wave of extraordinary companies!
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12 Saksham Gupta AI Governance Machine Learning Engineer
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/img/customers/saksham-gupta.svg Avatar
Looking forward to using Qdrant vector similarity search in the clinical trial space! OpenAI Embeddings + Qdrant = Match made in heaven!
id name position avatar text
12 Rishav Dash Data Scientist
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/img/customers/rishav-dash.svg Avatar
awesome stuff 🔥
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