Use the Python SDK with Milvus or Zilliz Cloud


Enhance AI and data-driven experiences effortlessly with the power vector similarity search in your applications using the Python SDK.

Python SDK for Vector Similarity Search | Milvus & Zilliz Cloud

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PyMilvus

LangChain Integration | Build Retrieval-Augmented Generation applications with Zilliz Cloud or Milvus Vector Database

Use the LangChain to create Retrieval Augmented Generation (RAG) applications with your unstructured data stored in Zilliz Cloud or Milvus Vector Database

Zilliz Cloud Integrations with LangChain

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LangChain

Real-time data ingestion for your RAG applications

Use Airbyte to transfer data from many different sources into Milvus, for similarity search in your GenAI Chat responses, product recommenders & more!

Airbyte and Milvus 

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Airbyte

LlamaIndex Integration | Build Retrieval-Augmented Generation applications with Zilliz Cloud and Milvus Vector Database

Use the LlamaIndex to create Retrieval Augmented Generation (RAG) applications with your unstructured data stored in Zilliz Cloud or Milvus Vector Database

Zilliz Cloud Integrations with LlamaIndex

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LlamaIndex

Create embeddings using Cohere Machine Learning Models

Use the Cohere Models to create embeddings of your unstructured data to store in Zilliz Cloud or the Milvus Vector Database

Zilliz Integration: Cohere Models - Zilliz

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Cohere Models

Use the Go SDK with Milvus or Zilliz Cloud

Enhance AI and data-driven experiences effortlessly with the power vector similarity search in your applications using the Go SDK.

Go SDK for Vector Similarity Search | Milvus & Zilliz Cloud

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Use the Javascript SDK with Milvus or Zilliz Cloud

Enhance your application's search capabilities with Milvus & Zilliz Cloud's JavaScript SDK for Vector Similarity Search. 

JavaScript SDK for Vector Similarity Search | Milvus & Zilliz Cloud

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JavaScript SDK

Real-time data ingestion for your RAG applications with Kafka

Get Exclusive Launch Updates for the Confluent x Milvus/Zilliz Integration

The Confluent integration leverages Zilliz Cloud (Hosted Milvus) and Confluent Kafka to perform real-time ingestion, parsing, and processing of data to reduce hallucination in Large Language Models (LLMs) by providing up-to-date and contextually relevant information that helps to enhance the user experience. 

The Vector Database Integration Hub

Easy to use, blazing fast open source vector database