LlamaIndex Readers Integration: Bagel
pip install llama-index-readers-bagel
Bagel Loader
Usage
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.
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