| Name | llama-index-readers-milvus JSON |
| Version |
0.2.0
JSON |
| download |
| home_page | None |
| Summary | llama-index readers milvus integration |
| upload_time | 2024-08-22 06:37:30 |
| maintainer | filip-halt |
| docs_url | None |
| author | Your Name |
| requires_python | <4.0,>=3.8.1 |
| license | MIT |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# 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:
```bash
pip install llama-index-readers-milvus
```
### Usage
```python
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](https://docs.llamaindex.ai/en/stable/examples/data_connectors/MilvusReaderDemo)
This loader is designed to be used as a way to load data into
[LlamaIndex](https://github.com/run-llama/llama_index/tree/main/llama_index) and/or subsequently
used as a Tool in a [LangChain](https://github.com/hwchase17/langchain) Agent.
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"description": "# LlamaIndex Readers Integration: Milvus\n\n## Overview\n\nMilvus 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.\n\n### Installation\n\nYou can install Milvus Reader via pip:\n\n```bash\npip install llama-index-readers-milvus\n```\n\n### Usage\n\n```python\nfrom llama_index.readers.milvus import MilvusReader\n\n# Initialize MilvusReader\nreader = MilvusReader(\n host=\"<Milvus Host>\", # Milvus host address (default: \"localhost\")\n port=19530, # Milvus port (default: 19530)\n user=\"\", # Milvus user (default: \"\")\n password=\"\", # Milvus password (default: \"\")\n use_secure=False, # Use secure connection (default: False)\n)\n\n# Load data from Milvus\ndocuments = reader.load_data(\n query_vector=[0.1, 0.2, 0.3], # Query vector\n collection_name=\"<Collection Name>\", # Name of the Milvus collection\n limit=10, # Number of results to return\n search_params=None, # Search parameters (optional)\n)\n```\n\nImplementation for Milvus reader can be found [here](https://docs.llamaindex.ai/en/stable/examples/data_connectors/MilvusReaderDemo)\n\nThis loader is designed to be used as a way to load data into\n[LlamaIndex](https://github.com/run-llama/llama_index/tree/main/llama_index) and/or subsequently\nused as a Tool in a [LangChain](https://github.com/hwchase17/langchain) Agent.\n",
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