Qdrant is an open-source vector database and search engine designed for fast and scalable vector similarity searches.
Qdrant is a powerful open-source vector database and vector search engine developed in Rust. It enables users to perform rapid and scalable vector similarity searches with ease through a convenient API that adheres to the OpenAPI v3 specification. Utilizing a customized version of the HNSW algorithm, Qdrant ensures fast and accurate search results while offering filterable output based on various payload values. The platform supports rich data types, diverse query conditions, and is designed with a distributed architecture to efficiently utilize computational resources, making it ideal for modern AI applications.
Qdrant is an open-source vector database and search engine that provides fast, scalable vector similarity searches.
You can use Qdrant by pulling its Docker image, or by following the Quick Start Guide for setting up your own neural search.
Core features of Qdrant include fast vector similarity searches, support for vector embeddings, a user-friendly API, and a custom algorithm for search efficiency.
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🔍📊✨
Vector search |
23% Popular
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85% Impact
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2 |
📊🔍✨
Vector databases |
31% Popular
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85% Impact
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3 |
🤖📊🧠✨
Deep learning queries |
46% Popular
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85% Impact
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4 |
☁️🔧🛠️🐳
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0% Popular
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85% Impact
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5 |
🔍🤖💻✨
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62% Popular
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85% Impact
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6 |
🎨🖌️✨🖍️
Vector design |
0% Popular
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75% Impact
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7 |
📷🚁🌍✨
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85% Impact
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8 |
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78% Impact
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10 |
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46% Popular
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85% Impact
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11 |
📊📈✨
Vector indexes |
0% Popular
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85% Impact
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12 |
📄❓📝🔍
RFP Q&A |
31% Popular
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85% Impact
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13 |
📊🔍📈📉
Data-driven research |
15% Popular
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85% Impact
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15 |
🛸📚🤖✨
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🚁✈️🌤️🌍
Drone Pilot |
35% Popular
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75% Impact
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2 |
🚗👥🔍💼
Driver Recruiter |
18% Popular
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75% Impact
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3 |
💻📊🔍✨
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73% Impact
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4 |
👩⚕️🩺💼✨
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29% Popular
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75% Impact
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