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.
|
coveralls test coverage |
No coveralls.
|
# 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.
Raw data
{
"_id": null,
"home_page": null,
"name": "llama-index-readers-milvus",
"maintainer": "filip-halt",
"docs_url": null,
"requires_python": "<4.0,>=3.8.1",
"maintainer_email": null,
"keywords": null,
"author": "Your Name",
"author_email": "you@example.com",
"download_url": "https://files.pythonhosted.org/packages/e1/92/c3117885e5a75cda4831908c128b3d03ecd026bb174157b07e781535537b/llama_index_readers_milvus-0.2.0.tar.gz",
"platform": null,
"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",
"bugtrack_url": null,
"license": "MIT",
"summary": "llama-index readers milvus integration",
"version": "0.2.0",
"project_urls": null,
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "686cd11ee8f0baa2b3c323d2a5da5be0f39b61fee7de9ed8e2b3e7b63752a746",
"md5": "40f292e1e49ac755bcba7815b59a4de8",
"sha256": "7199660198ae7fd9ebcc0b9c52238bed974e57f8de34def2204dfb4b4335af35"
},
"downloads": -1,
"filename": "llama_index_readers_milvus-0.2.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "40f292e1e49ac755bcba7815b59a4de8",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<4.0,>=3.8.1",
"size": 3599,
"upload_time": "2024-08-22T06:37:29",
"upload_time_iso_8601": "2024-08-22T06:37:29.616971Z",
"url": "https://files.pythonhosted.org/packages/68/6c/d11ee8f0baa2b3c323d2a5da5be0f39b61fee7de9ed8e2b3e7b63752a746/llama_index_readers_milvus-0.2.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "e192c3117885e5a75cda4831908c128b3d03ecd026bb174157b07e781535537b",
"md5": "b1193756cc72b50f38fe513a7e4427fa",
"sha256": "89c573a91a24d77c87465a908e19556cca164d0b9fc60230892c588880e1f5ba"
},
"downloads": -1,
"filename": "llama_index_readers_milvus-0.2.0.tar.gz",
"has_sig": false,
"md5_digest": "b1193756cc72b50f38fe513a7e4427fa",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<4.0,>=3.8.1",
"size": 3319,
"upload_time": "2024-08-22T06:37:30",
"upload_time_iso_8601": "2024-08-22T06:37:30.818875Z",
"url": "https://files.pythonhosted.org/packages/e1/92/c3117885e5a75cda4831908c128b3d03ecd026bb174157b07e781535537b/llama_index_readers_milvus-0.2.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-08-22 06:37:30",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "llama-index-readers-milvus"
}