llama-index-readers-agent-search 0.1.2

llama-index readers agent_search integration

AgentSearch Loader

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 import download_loader

AgentSearch = download_loader("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 and/or subsequently used as a Tool in a LangChain Agent. See here for examples.