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Pebblo-Llama PebbloSafeReader #13128

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153 changes: 153 additions & 0 deletions llama-index-integrations/readers/llama-index-readers-pebblo/.gitignore
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llama_index/_static
.DS_Store
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
bin/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
etc/
include/
lib/
lib64/
parts/
sdist/
share/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
.ruff_cache

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
target/

# Jupyter Notebook
.ipynb_checkpoints
notebooks/

# IPython
profile_default/
ipython_config.py

# pyenv
.python-version

# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock

# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
pyvenv.cfg

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# Jetbrains
.idea
modules/
*.swp

# VsCode
.vscode

# pipenv
Pipfile
Pipfile.lock

# pyright
pyrightconfig.json
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poetry_requirements(
name="poetry",
)
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GIT_ROOT ?= $(shell git rev-parse --show-toplevel)

help: ## Show all Makefile targets.
@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[33m%-30s\033[0m %s\n", $$1, $$2}'

format: ## Run code autoformatters (black).
pre-commit install
git ls-files | xargs pre-commit run black --files

lint: ## Run linters: pre-commit (black, ruff, codespell) and mypy
pre-commit install && git ls-files | xargs pre-commit run --show-diff-on-failure --files

test: ## Run tests via pytest.
pytest tests

watch-docs: ## Build and watch documentation.
sphinx-autobuild docs/ docs/_build/html --open-browser --watch $(GIT_ROOT)/llama_index/
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should we put the install command in here? pip install llama-index-readers-pebblo

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Added command in README.md

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# LlamaIndex Readers Integration: Pebblo

## Pebblo Safe DocumentReader

[Pebblo](https://github.com/daxa-ai/pebblo) enables developers to safely load data and promote their Gen AI app to deployment without worrying about the organization’s compliance and security requirements. The project identifies semantic topics and entities found in the loaded data and summarizes them on the UI or a PDF report.

### Pebblo has two components.

1. Pebblo Safe DocumentReader for Llama
2. Pebblo Daemon

This document describes how to augment your existing Llama DocumentReader with Pebblo Safe DocumentReader to get deep data visibility on the types of Topics and Entities ingested into the Gen-AI Llama application. For details on `Pebblo Daemon` see this [pebblo daemon](https://daxa-ai.github.io/pebblo-docs/daemon.html) document.

Pebblo Safe DocumentReader enables safe data ingestion for Llama `DocumentReader`. This is done by wrapping the document reader call with `Pebblo Safe DocumentReader`

#### How to Pebblo enable Document Reading?

Assume a Llama RAG application snippet using `CSVReader` to read a CSV document for inference.

Here is the snippet of Document loading using `CSVReader`

```
from pathlib import Path
from llama_index.readers.file import CSVReader
reader = CSVReader()
documents = reader.load_data(file=Path('data/corp_sens_data.csv'))
print(documents)
```

The Pebblo SafeReader can be installed and enabled with few lines of code change to the above snippet.

##### Install PebbloSafeReader

```
pip install llama-index-readers-pebblo
```

##### Use PebbloSafeReader

```
from pathlib import Path
from llama_index.readers.pebblo import PebbloSafeReader
from llama_index.readers.file import CSVReader
reader = CSVReader()
pebblo_reader = PebbloSafeReader(reader, name="acme-corp-rag-1", # App name (Mandatory)
owner="Joe Smith", # Owner (Optional)
description="Support productivity RAG application")
documents = pebblo_reader.load_data(file=Path('data/corp_sens_data.csv'))
```
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python_sources()
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from llama_index.readers.pebblo.base import (
PebbloSafeReader,
)

__all__ = ["PebbloSafeReader"]