Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
LanceDB is an open-source, embedded vector database for AI applications, built on the Lance columnar format for fast storage and retrieval of high-dimensional embeddings. Built for AI engineers and developers, it powers semantic search, recommendations, and retrieval-augmented generation (RAG) directly in your application - no separate server required. This offer delivers a pre-configured, security-hardened Ubuntu 26.04 LTS image with LanceDB 0.34.0 in a ready-to-use Python environment.
Who it's for
Show the rest of the publisher’s description (22 more lines)
AI and machine learning engineers, data scientists, and Python developers building RAG pipelines, semantic search, or LLM-powered features who want a lightweight, self-hosted, embedded vector database.
Problems it solves
- Adding vector search to applications without running a separate database server.
- Storing and querying large volumes of embeddings efficiently on disk.
- Setting up a clean, isolated Python environment for vector search from scratch.Key benefits
- Store, index, and query embeddings for fast vector similarity search.
- Run embedded in your Python application - no separate server to operate.
- Power semantic search, recommendations, and RAG for LLM applications.
- Work in an isolated virtual environment, ready on first boot.
- Keep your data self-hosted in your own Azure tenant, fully under your control.What's included
- Pre-configured LanceDB 0.34.0 on Ubuntu 26.04 LTS in a dedicated Python virtual environment.
- Security-hardened base image, latest stable build, deployable in minutes.
- Category: Databases / AI Apps and AgentsUsage instructions
LanceDB is an embedded Python library with no web interface; connect over SSH and use it from Python.
- SSH to the VM.
- Activate the environment: source /opt/lancedb/venv/bin/activate
- Confirm the version: python -c "import lancedb; print(lancedb.__version__)" (expect 0.34.0)
Free 24/7 support
Includes free 24/7 support plus ongoing maintenance and updates, so your environment stays secure and dependable.
Disclaimer
LanceDB is open-source software distributed under the Apache License 2.0. LanceDB is a trademark of its respective owner. This offer is not affiliated with, endorsed by, or sponsored by the LanceDB project or any third party. The software is provided "as is", without warranty of any kind; you must review and comply with the applicable license terms. "Free 24/7 support" is provided by our team for this VM image, not the upstream project.
Deploy LanceDB on Azure in minutes.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.