llama-index readers agent_search integration
Project description
AgentSearch Loader
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.
Usage
Here's an example usage of the AgentSearchReader.
# 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/
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