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Jonathan Eisenzopf |
Chief Strategy and Research Officer at Talkmap |
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“With Qdrant, we found the missing piece to develop our own provider independent multimodal generative AI platform on enterprise scale.” |
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Angel Luis Almaraz Sánchez |
Full Stack | DevOps |
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Thank you, great work, Qdrant is my favorite option for similarity search. |
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Shubham Krishna |
ML Engineer @ ML6 |
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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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Kwok Hing LEON |
Data Science |
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Check out qdrant for improving searches. Bye to non-semantic KM engines. |
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Ankur S |
Building |
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Quadrant is a great vector database. There is a real sense of thought behind the api! |
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Yasin Salimibeni View Yasin Salimibeni’s profile |
AI Evangelist | Generative AI Product Designer | Entrepreneur | Mentor |
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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! |
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Marcel Coetzee |
Data and AI Plumber |
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Using Qdrant as a blazing fact vector store for a stealth project of mine. It offers fantasic functionality for semantic search ✨ |
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Andrew Rove |
Principal Software Engineer |
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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! |
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Josh Lloyd |
ML Engineer |
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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 ⏩🔥 |
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Leonard Püttmann |
data scientist |
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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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Stanislas Polu |
Software Engineer & Co-Founder, Dust |
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Qdrant's the best. By. Far. |
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Sivesh Sukumar |
Investor at Balderton |
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We're using Qdrant to help segment and source Europe's next wave of extraordinary companies! |
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Saksham Gupta |
AI Governance Machine Learning Engineer |
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Looking forward to using Qdrant vector similarity search in the clinical trial space! OpenAI Embeddings + Qdrant = Match made in heaven! |
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Rishav Dash |
Data Scientist |
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awesome stuff 🔥 |
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