LanceDB is an open-source vector database optimized for AI and machine learning applications, designed to store, manage, and search large-scale vector embeddings efficiently.

Features of LanceDB:

LanceDB provides a lightweight, high-performance vector database for managing embeddings and unstructured data with seamless integration into AI workflows.
It supports fast similarity search (k-NN, cosine, L2, etc.) across billions of vectors, enabling scalable and efficient retrieval-augmented generation (RAG) and semantic search.
The system is serverless by default but can also be deployed as a server with SQL and REST APIs for broader integration into production environments.
LanceDB integrates with popular frameworks like PyTorch, Hugging Face, OpenAI, LangChain, and LlamaIndex, simplifying end-to-end AI application development.
Built on Apache Arrow and the Lance format, it ensures efficient storage, columnar access, and interoperability with modern data tools.

Login Credentials are saved in credentials.txt file located at /var/lancedb directory.

To run LanceDB: We need to run the following codes on your VM:
$ sudo su
$ sudo apt update
$ source /opt/lancedb-env/bin/activate
$ pip show lancedb | grep Version

Disclaimer: LanceDB is an open-source project distributed under the Apache License 2.0. It is maintained by the LanceDB community and contributors and is not affiliated with, endorsed by, or sponsored by any single company. LanceDB is provided "as is," without express or implied warranties. Users are responsible for any risks associated with its use. The developers and contributors of LanceDB hold no liability for damages, losses, or consequences resulting from using this software. Before using LanceDB, users are advised to carefully review and comply with the licensing terms and any applicable regulations.

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