Name | llama-index-readers-pathway JSON |
Version |
0.2.0
JSON |
| download |
home_page | None |
Summary | llama-index readers pathway integration |
upload_time | 2024-08-22 06:47:54 |
maintainer | None |
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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# LlamaIndex Readers Integration: Pathway
## Overview
Pathway Reader is a utility class for retrieving documents from the Pathway data indexing pipeline. It queries the Pathway vector store to get the closest neighbors of a given text query.
### Installation
You can install Pathway Reader via pip:
```bash
pip install llama-index-readers-pathway
```
### Usage
```python
from llama_index.readers.pathway import PathwayReader
# Initialize PathwayReader with the URI and port of the Pathway server
reader = PathwayReader(host="<Pathway Host>", port="<Port>")
# Load data from Pathway
documents = reader.load_data(
query_text="<Query Text>", # The text to get the closest neighbors of
k=4, # Number of results to return
metadata_filter="<Metadata Filter>", # Filter to be applied
)
```
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).
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"description": "# LlamaIndex Readers Integration: Pathway\n\n## Overview\n\nPathway Reader is a utility class for retrieving documents from the Pathway data indexing pipeline. It queries the Pathway vector store to get the closest neighbors of a given text query.\n\n### Installation\n\nYou can install Pathway Reader via pip:\n\n```bash\npip install llama-index-readers-pathway\n```\n\n### Usage\n\n```python\nfrom llama_index.readers.pathway import PathwayReader\n\n# Initialize PathwayReader with the URI and port of the Pathway server\nreader = PathwayReader(host=\"<Pathway Host>\", port=\"<Port>\")\n\n# Load data from Pathway\ndocuments = reader.load_data(\n query_text=\"<Query Text>\", # The text to get the closest neighbors of\n k=4, # Number of results to return\n metadata_filter=\"<Metadata Filter>\", # Filter to be applied\n)\n```\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).\n",
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