Name | llama-index-readers-agent-search JSON |
Version |
0.2.0
JSON |
| download |
home_page | None |
Summary | llama-index readers agent_search integration |
upload_time | 2024-08-22 05:43:42 |
maintainer | emrgnt-cmplxty |
docs_url | None |
author | Your Name |
requires_python | <4.0,>=3.8.1 |
license | MIT |
keywords |
|
VCS |
|
bugtrack_url |
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requirements |
No requirements were recorded.
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Travis-CI |
No Travis.
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coveralls test coverage |
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# AgentSearch Loader
```bash
pip install llama-index-readers-agent-search
```
This framework facilitates seamless integration with the AgentSearch dataset or hosted search APIs (e.g. Search Engines) and with RAG-specialized LLM's (e.g. Search Agents).
During query-time, the user passes in the query string, search provider (`bing`, `agent-search`), and RAG provider model (`SciPhi/Sensei-7B-V1`).
To learn more, please refer to the documentation [here](https://agent-search.readthedocs.io/en/latest/).
## Usage
Here's an example usage of the AgentSearchReader.
```python
# Optionally set the API key in the env
# import os
# os.environ["SCIPHI_API_KEY"] = "..."
from llama_index.readers.agent_search import AgentSearchReader
reader = AgentSearch()
document = reader.load_data(
query="latest news",
)[0]
# text = "The latest news encompasses ... and its consequences [2]."
# metadata = {'related_queries': ['Details on the...', ...], 'search_results' : [...]}
```
This loader is designed to be used as a way to load data into [LlamaIndex](https://github.com/run-llama/llama_index/).
https://github.com/run-llama/llama_index/
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