LlamaIndex Readers Integration: Bagel

bash

pip install llama-index-readers-bagel

Bagel Loader

Usage

python

from llama_index.core.schema import Document
from llama_index.readers.bagel import BagelReader

# Initialize BagelReader with the collection name
reader = BagelReader(collection_name="example_collection")

# Load data from Bagel
documents = reader.load_data(
    query_vector=None,
    query_texts=["example text"],
    limit=10,
    where=None,
    where_document=None,
    include=["documents", "embeddings"],
)

Features

Retrieve documents, embeddings, and metadata efficiently.
Filter results based on specified conditions.
Specify what data to include in the retrieved 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.