Qdrant
Qdrant is an open-source vector database that enables AI applications to perform high-performance similarity search over high-dimensional embeddings. It implements a production-ready vector searchβ¦
Qdrant
Qdrant is an open-source vector database that enables AI applications to perform high-performance similarity search over high-dimensional embeddings. It implements a production-ready vector searchβ¦
TL;DR
What: Open-source Rust-native vector similarity search engine and vector database
Founded: 2021 (Berlin)
Product: Self-managed deployments and Qdrant Cloud with features for hybrid search, multivector support, real-time indexing, and advanced metadata filtering
Funding: Raised multiple rounds including $7.5M seed, $28M Series A, and $50M Series B
Tech focus: High-performance vector search, custom storage engine (Gridstore), SIMD optimizations, HNSW, quantization
Company Overview
Problem Domain
Unstructured data retrieval and similarity search for AI applications (semantic search, RAG, agents, recommendations).
Founded
2021
Industry
Software Development
Tech Stack
Funding Track Record
7.5M
Seed reported in April 2023; participation from 42CAP, IBB Ventures and angel investors
28M
Series A announced January 23, 2024; existing investors participated
50M
Series B announced by the company; participation from Bosch Ventures, Unusual Ventures, Spark Capital and 42CAP
Founders
What we do
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