langchain-lakefs 0.1.1

An integration package connecting LakeFS and LangChain

langchain-lakefs

This package provides a LangChain integration with lakeFS, allowing you to load documents from lakeFS repositories into your LangChain workflows.

Features

• Load documents from lakeFS repositories using the official lakeFS Python SDK
• Support for user metadata retrieval
• Configurable repository, reference, and path specifications
• Integration with LangChain's document loading infrastructure

Installation

pip install -U langchain-lakefs

Configuration

You can configure the LakeFSLoader in three ways:

1. Direct Initialization

Provide the access key, secret key, and endpoint during initialization:

from langchain_lakefs.document_loaders import LakeFSLoader

lakefs_loader = LakeFSLoader(
    lakefs_access_key='your_access_key',
    lakefs_secret_key='your_secret_key',
    lakefs_endpoint='https://path-to.lakefs.com',
    repo='your_repo',
    ref='main',
    path='path/to/files'
)

2. Configuration File

The package will automatically read credentials from the ~/.lakectl.yaml file if available.

3. Environment Variables

Set the following environment variables to configure the loader:

export LAKECTL_CREDENTIALS_ACCESS_KEY_ID='your_access_key'
export LAKECTL_CREDENTIALS_SECRET_ACCESS_KEY='your_secret_key'
export LAKECTL_SERVER_ENDPOINT_URL='https://path-to.lakefs.com'

Usage

Document Loader

The LakeFSLoader class allows you to load documents from lakeFS. You need to specify:

• The repository (repo)
• The reference (ref) - branch, commit or tag
• The path to the files you want to load

If you would like to load the metadata of the files, you can set the user_metadata parameter to True:

from langchain_lakefs.document_loaders import LakeFSLoader

# Initialize the loader
lakefs_loader = LakeFSLoader(
    lakefs_access_key='your_access_key',
    lakefs_secret_key='your_secret_key',
    lakefs_endpoint='https://path-to.lakefs.com',
    repo='your_repo',
    ref='main',
    path='path/to/files',
    user_metadata=True
)

# Load documents from lakeFS
documents = lakefs_loader.load()

# Process the documents
for doc in documents:
    print(f"Content: {doc.page_content}")
    print(f"Metadata: {doc.metadata}")

Modifying Loader Settings

You can modify the loader settings after initialization:

# Change the repository
lakefs_loader.set_repo("another-repo")

# Change the reference (branch or commit)
lakefs_loader.set_ref("feature-branch")

# Change the path
lakefs_loader.set_path("another/path")

# Toggle user metadata retrieval
lakefs_loader.set_user_metadata(True)

Examples

Loading Documents from a Specific Path

from langchain_lakefs.document_loaders import LakeFSLoader

loader = LakeFSLoader(
    lakefs_endpoint="https://example.my-lakefs.com",
    lakefs_access_key="your-access-key",
    lakefs_secret_key="your-secret-key",
    repo="my-repo",
    ref="main",
    path="data/documents"
)

documents = loader.load()