dhi.io/qdrant
Qdrant
A high-performance vector database and similarity search engine for building the next generation of AI applications.
pushed 1 day ago
linux/amd64, linux/arm64
39.72 MB
for linux/amd64
598
for linux/amd64
Active support
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Build Level 3
Tamper-evident proof of how and from what sources this image was built. Build Level 3 is the highest the SLSA build track defines.
CycloneDX SBOM + SPDX SBOM
A software bill of materials in both CycloneDX and SPDX formats so it drops straight into your existing tooling. Audit exactly what you're shipping.
A Vulnerability Exploitability exchange document, Docker's assessment of which CVEs actually affect this image and which don't apply, so you can focus on real risk instead of chasing false positives.
Available
A link to everything used to build the image, package source code, Git repos, and build files, so you can audit or reproduce the build and stay compliant with open source licenses.
Every known vulnerability in this image, shown in full rather than hidden. The VEX data flags which ones actually apply, so you can tell real exposure from noise before you ship.
Exactly what changed in this build, down to the package bumps and fixes behind the version you're pulling.
Verifies no keys, tokens, or credentials were accidentally baked into the image.
The image layers were scanned for known malware signatures before publishing.
About Qdrant
Qdrant is an open-source vector database and similarity-search engine for the next generation of AI applications. It stores high-dimensional vectors alongside JSON payloads and serves fast, filtered nearest-neighbor search built on a custom HNSW index, making it a foundation for semantic search, recommendations, and retrieval-augmented generation. Qdrant exposes both a REST API on port 6333 and a gRPC API on port 6334, ships a built-in web dashboard, and is written in Rust for performance and memory safety. For more details, visit https://qdrant.tech.
About Docker Hardened Images
Docker Hardened Images are built to meet the highest security and compliance standards. They provide a trusted foundation for containerized workloads by incorporating security best practices from the start.
Why use Docker Hardened Images?
These images are published with near-zero known CVEs, include signed provenance, and come with a complete Software Bill of Materials (SBOM) and VEX metadata. They're designed to secure your software supply chain while fitting seamlessly into existing Docker workflows.
Trademarks
Qdrant is a trademark of Qdrant Solutions GmbH. All rights in the mark are reserved to Qdrant Solutions GmbH. Any use by Docker is for referential purposes only and does not indicate sponsorship, endorsement, or affiliation.