Pasar al contenido principal
Products
Pymilvus
https://catalogartifact.azureedge.net/publicartifacts/pcloudhostingllc1770894336819.pyml-b0e5400d-562e-49e0-bc66-7b2bde58b5df/image0_pCloud216.png

Pymilvus

por pcloudhosting

(1 clasificaciones)

Version 3.0.0 + Free Support on Ubuntu 26.04

PyMilvus is the official Python SDK for the Milvus vector database, designed for managing vector embeddings, similarity search, and AI-powered data retrieval applications. It enables developers to build scalable semantic search, recommendation systems, Retrieval-Augmented Generation (RAG), and machine learning workloads using Python.

Features of PyMilvus:
  • Connects Python applications to Milvus vector database servers.
  • Supports vector insertion, indexing, querying, and similarity search operations.
  • Handles dense and sparse vector embeddings for AI workloads.
  • Provides high-performance Approximate Nearest Neighbor (ANN) search capabilities.
  • Supports metadata filtering and hybrid search functionality.
  • Integrates with AI frameworks such as LangChain, LlamaIndex, Hugging Face, and OpenAI embeddings.
  • Compatible with standalone, distributed, and Milvus Lite deployments.
  • Suitable for semantic search, recommendation engines, chatbots, and RAG pipelines.

Usage Instruction

Activate Virtual Environment:
$ source venv/bin/activate

Check Version:
$ python -c "import pymilvus; print(pymilvus.__version__)"

Run Example:
$ python test.py

Disclaimer: PyMilvus is an open-source Python SDK intended for interacting with Milvus vector databases. A running Milvus server or Milvus Lite environment may be required for database operations and vector search functionality. Performance and scalability may depend on deployment architecture and hardware resources.