{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/6"}],"enrichment":{"capability":"Integrates the Milvus vector database with LlamaIndex for storing and retrieving vector embeddings in LLM applications.","skillfed_tags":["vector-database","rag","embeddings"],"use_cases":["Building RAG systems where document embeddings are stored in Milvus for fast semantic retrieval","Implementing multi-tenant vector search applications using Milvus collections","Integrating LlamaIndex-based LLM chains with an existing Milvus deployment","Prototyping semantic search features that need to scale beyond in-memory vector stores"],"what_it_does":"This package provides a connector between LlamaIndex and Milvus, a vector database designed for similarity search and AI workloads. It allows you to store document embeddings in Milvus and retrieve them efficiently for retrieval-augmented generation (RAG) pipelines and semantic search applications. The integration sits on top of llama-index-core and pymilvus, handling the translation between LlamaIndex's vector store interface and Milvus's API.\n\nThe package is lightweight and actively maintained, with low installation friction since it only depends on two runtime packages. It targets modern Python versions (3.10+) and is licensed under MIT, making it straightforward to integrate into commercial or open-source projects.","worth_installing":"Yes, if you are already using LlamaIndex and need a scalable vector store. The low install friction, active maintenance, MIT license, and zero known vulnerabilities make it a safe choice. Install only if you have Milvus available or plan to deploy it; this is a connector, not a standalone vector store."},"id":"llama-index-vector-stores-milvus","links":{"html":"https://skillfed.io/packages/llama-index-vector-stores-milvus","md":"https://skillfed.io/packages/llama-index-vector-stores-milvus.md","pypi":"https://pypi.org/project/llama-index-vector-stores-milvus/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-12","license_spdx":"MIT","license_treatment":"permissive","name":"llama-index-vector-stores-milvus","python_support":"supports_current","summary":"llama-index vector_stores milvus integration"},"popularity":{"monthly_downloads":256611,"position":8461,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.1.0"}