LlamaIndex Readers Integration: Jaguar
Overview
Jaguar Reader retrieves documents from an existing persisted Jaguar store. These documents can then be used in a downstream LlamaIndex data structure.
Installation
You can install Jaguar Reader via pip:
pip install llama-index-readers-jaguar
To use Jaguar Reader, you must have an API key. Here are the installation instructions
Usage
from llama_index.readers.jaguar import JaguarReader
# Initialize JaguarReader
reader = JaguarReader(
pod="<Pod Name>",
store="<Store Name>",
vector_index="<Vector Index Name>",
vector_type="<Vector Type>",
vector_dimension="<Vector Dimension>",
url="<Endpoint URL>",
)
# Login to Jaguar server
reader.login(jaguar_api_key="<Jaguar API Key>")
# Load data from Jaguar
documents = reader.load_data(
embedding="<Embedding Vector>",
k=10,
metadata_fields=["<Metadata Field 1>", "<Metadata Field 2>"],
where="<Query Condition>",
)
# Logout from Jaguar server
reader.logout()
This loader is designed to be used as a way to load data into LlamaIndex.
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