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Vector DBFreeOpen Source

MILVUS

High-performance, cloud-native vector database

Apache-2.0

ABOUT

Traditional databases cannot efficiently search or retrieve unstructured data like text, images, and audio by semantic meaning. Milvus solves this by storing high-dimensional vector embeddings and enabling fast approximate nearest neighbor (ANN) search at scale, with support for metadata filtering, hybrid search, and real-time updates.

INSTALL
curl -sfL https://raw.githubusercontent.com/milvus-io/milvus/master/scripts/standalone_embed.sh -o standalone_embed.sh bash standalone_embed.sh start

INTEGRATION GUIDE

1. Power Retrieval-Augmented Generation (RAG) pipelines by retrieving relevant document chunks from a vector store 2. Build semantic image and text search engines that understand natural language queries 3. Drive recommendation systems by finding semantically similar users, products, or content 4. Accelerate drug discovery with molecular embedding search across massive compound libraries 5. Run hybrid search combining dense vectors with sparse vectors for higher relevance

TAGS

vector-databaseann-searchembeddingsragsemantic-searchcloud-nativeunstructured-dataopen-source