llama-index-readers-bagel

Name	llama-index-readers-bagel JSON
Version	0.2.0 JSON
	download
home_page	None
Summary	llama-index readers bagel integration
upload_time	2024-08-22 05:52:47
maintainer	asif
docs_url	None
author	Your Name
requires_python	<4.0,>=3.8.1
license	MIT
keywords	bageldb database storage vector
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # 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](https://github.com/run-llama/llama_index/tree/main/llama_index) and/or subsequently
used as a Tool in a [LangChain](https://github.com/hwchase17/langchain) Agent.

            

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