LlamaIndex Readers Integration: Milvus

Overview

Milvus Reader is designed to load data from a Milvus vector store, which provides search functionality based on query vectors. It retrieves documents from the specified Milvus collection using the provided connection parameters.

Installation

You can install Milvus Reader via pip:

pip install llama-index-readers-milvus

Usage

from llama_index.readers.milvus import MilvusReader

# Initialize MilvusReader
reader = MilvusReader(
    host="<Milvus Host>",  # Milvus host address (default: "localhost")
    port=19530,  # Milvus port (default: 19530)
    user="",  # Milvus user (default: "")
    password="",  # Milvus password (default: "")
    use_secure=False,  # Use secure connection (default: False)
)

# Load data from Milvus
documents = reader.load_data(
    query_vector=[0.1, 0.2, 0.3],  # Query vector
    collection_name="<Collection Name>",  # Name of the Milvus collection
    limit=10,  # Number of results to return
    search_params=None,  # Search parameters (optional)
)

Implementation for Milvus reader can be found here

This loader is designed to be used as a way to load data into LlamaIndex and/or subsequently used as a Tool in a LangChain Agent.