
Open-source vector database for high-performance AI similarity search at scale.
qdrant.techCrawled Oct 2, 2026
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We dive deep into the capabilities of DSPy and LangChain and discuss scenarios where each of these frameworks shine.
Collaborating to support startups and enterprises in Europe with a strong focus on data control and privacy.
Supporting innovation in AI with the launch of a revolutionary managed database for startups and enterprises.
Explore Qdrant Cloud and Enterprise solutions for your vector search applications. Choose the right deployment option and explore transparent pricing plans.
We dive deep into the capabilities of DSPy and LangChain and discuss scenarios where each of these frameworks shine.
Migrate from Milvus or Zilliz Cloud to Qdrant by streaming vectors, payloads, and metadata from Milvus collections into Qdrant with the Qdrant Migration Tool.
Migrate from Pinecone to Qdrant by streaming serverless index data, vectors, namespaces, and metadata into Qdrant collections with the Qdrant Migration Tool.
Migrate from Weaviate to Qdrant by streaming classes, vectors, and properties into Qdrant collections using the Qdrant Migration Tool's Weaviate connector.
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Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.
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Qdrant, a Berlin-based vector database company, raises a $50 million Series B led by Robert Bosch Venture Capital to advance the next generation of scalable AI infrastructure. Existing investors AVP, GIMIC Ventures, Spark Capital, and 42CAP also participate in the funding round.
Feb 2026 · Bosch Media ServiceNews article
Qdrant raises a Series A round led by Spark Capital. Existing investors Unusual Ventures and 42CAP also participate. The headline states the round totals $28 million, while the article text describes the investment as “8M,” leaving the amount unclear in the body.
Jan 2024 · Business WireNews article