qdrant-landing/content/customers/customers-vector-space-wall.md

---
title: Vector Space Wall
link:
  url: https://testimonial.to/qdrant/all
  text: Submit Your Testimonial
testimonials:
- id: 0
  name: Jonathan Eisenzopf
  position: Chief Strategy and Research Officer at Talkmap
  avatar:
    src: /img/customers/jonathan-eisenzopf.svg
    alt: Avatar
  text: “With Qdrant, we found the missing piece to develop our own provider independent multimodal generative AI platform on enterprise scale.”
- id: 1
  name: Angel Luis Almaraz Sánchez
  position: Full Stack | DevOps
  avatar:
    src: /img/customers/angel-luis-almaraz-sanchez.svg
    alt: Avatar
  text: Thank you, great work, Qdrant is my favorite option for similarity search.
- id: 2
  name: Shubham Krishna
  position: ML Engineer @ ML6
  avatar:
    src: /img/customers/shubham-krishna.svg
    alt: Avatar
  text: 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.
- id: 3
  name: Kwok Hing LEON
  position: Data Science
  avatar:
    src: /img/customers/kwok-hing-leon.svg
    alt: Avatar
  text: Check out qdrant for improving searches. Bye to non-semantic KM engines.
- id: 4
  name: Ankur S
  position: Building
  avatar:
    src: /img/customers/ankur-s.svg
    alt: Avatar
  text: Quadrant is a great vector database. There is a real sense of thought behind the api!
- id: 5
  name: Yasin Salimibeni View Yasin Salimibeni’s profile
  position: AI Evangelist | Generative AI Product Designer | Entrepreneur | Mentor
  avatar:
    src: /img/customers/yasin-salimibeni-view-yasin-salimibeni.svg
    alt: Avatar
  text: 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: 6
  name: Marcel Coetzee
  position: Data and AI Plumber
  avatar:
    src: /img/customers/marcel-coetzee.svg
    alt: Avatar
  text: Using Qdrant as a blazing fact vector store for a stealth project of mine. It offers fantasic functionality for semantic search &#10024;
- id: 7
  name: Andrew Rove
  position: Principal Software Engineer
  avatar:
    src: /img/customers/andrew-rove.svg
    alt: Avatar
  text: 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: 8
  name: Josh Lloyd
  position: ML Engineer
  avatar:
    src: /img/customers/josh-lloyd.svg
    alt: Avatar
  text: 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! &#128640; and it's fast &#9193;&#128293;
- id: 9
  name: Leonard Püttmann
  position: data scientist
  avatar:
    src: /img/customers/leonard-puttmann.svg
    alt: Avatar
  text: 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.
- id: 10
  name: Stanislas Polu
  position: Software Engineer & Co-Founder, Dust
  avatar:
    src: /img/customers/stanislas-polu.svg
    alt: Avatar
  text: Qdrant's the best. By. Far.
- id: 11
  name: Sivesh Sukumar
  position: Investor at Balderton
  avatar:
    src: /img/customers/sivesh-sukumar.svg
    alt: Avatar
  text: We're using Qdrant to help segment and source Europe's next wave of extraordinary companies!
- id: 12
  name: Saksham Gupta
  position: AI Governance Machine Learning Engineer
  avatar:
    src: /img/customers/saksham-gupta.svg
    alt: Avatar
  text: Looking forward to using Qdrant vector similarity search in the clinical trial space! OpenAI Embeddings + Qdrant = Match made in heaven!
- id: 12
  name: Rishav Dash
  position: Data Scientist
  avatar:
    src: /img/customers/rishav-dash.svg
    alt: Avatar
  text: awesome stuff &#128293;
sitemapExclude: true
---