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Vector DBFreeOpen Source
MILVUS LITE
Lightweight embeddable vector database for local development
Apache-2.0
ABOUT
Running a full Milvus cluster requires Docker or Kubernetes, which adds overhead for prototyping, local development, and small applications. Milvus Lite packages the same vector search engine into a pip-installable Python library that runs entirely in-process, letting developers add semantic search and RAG capabilities to their apps without managing containers.
INSTALL
pip install milvus-liteINTEGRATION GUIDE
1. Prototype RAG applications locally with the same Milvus API used in production clusters
2. Add vector search to Python scripts and Jupyter notebooks without Docker overhead
3. Build small-scale semantic search into desktop applications with an embedded vector store
4. Run unit tests for vector database queries in CI pipelines without container orchestration
TAGS
vector-databaseembeddingssimilarity-searchpythonlocallightweight