Qdrant
Powering the next generation of AI applications with advanced and high-performant vector similarity search technology. Qdrant is an open-source vector search engine. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more. Make the most of your Unstructured Data!
Qdrant
Powering the next generation of AI applications with advanced and high-performant vector similarity search technology. Qdrant is an open-source vector search engine. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more. Make the most of your Unstructured Data!
TL;DR
What they do: Open-source vector database and search engine for low-latency similarity search
Founded: 2021
HQ: Berlin, Germany
Latest known funding: Series A $28M (Jan 2024)
Tech highlight: Implemented in Rust; offers self-hosted and managed cloud/on-prem editions
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Company Overview
Problem Domain
Low-latency similarity search over unstructured data (vector search for AI applications).
Founded
2021
Industry
Software Development
Tech Stack
Funding Track Record
€2,000,000
Pre-seed raised prior to seed (amount reported as approximately €2M).
7,500,000
Seed round participation included 42cap, IBB Ventures and angel backers.
28,000,000
Series A included participation from existing investors Unusual Ventures and 42cap.
Investor Signal
“Led by Spark Capital in Series A with participation from Unusual Ventures and 42CAP”